Source: https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/
Canonical: https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/
Language: uz

# DeepSeek R1 Distill Qwen 14B

[Markdown](https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/index.md) · [JSON](https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/facts.json)

## [DeepSeek R1 Distill Qwen 14B](https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/)

DeepSeek-R1-Distill-Qwen-14B — Qwen2.5-14B va DeepSeek-R1 yaratgan misollarga asoslangan matnli mulohaza nazorat nuqtasi. U DeepSeek kompaniyasining o‘z tokenizatori, topshiriq tavsiyalari va reliz konfiguratsiyasi bilan batafsil matematik, dasturlash va mantiqiy javoblarni qo‘llaydi.

- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/#method-0)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/deepseek-ai-deepseek-r1-distill-qwen-14b/#method-1)

Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

DeepSeek-R1-Distill-Qwen-14B — DeepSeek chiqargan, Qwen asosidagi 14B hajmli mulohaza nazorat nuqtasi. Uning asosi DeepSeek-R1 tayyorlagan misollar bilan qo‘shimcha o‘qitilgan Qwen2.5-14B modelidir. U yozma masala yoki suhbatni qabul qilib, matematik yechim, dastur xatti-harakati izohi yoki bir nechta berilgan shartdan chiqarilgan xulosani o‘z ichiga olishi mumkin bo‘lgan matn qaytaradi.

Mulohazani ko‘chirish va nomlangan nashr

DeepSeek to‘liq R1 va R1-Zero modellarini Qwen hamda Llama asoslariga distillatsiya qilingan zich modellardan ajratadi. Distillatsiyalangan relizlarda o‘qitish ma’lumotlari kattaroq R1 modelidan mulohaza andozalarini boshqa nazorat nuqtasiga olib o‘tadi. 14B nomi shu muayyan Qwen asosini aniqlaydi; u to‘liq R1 arxitekturasini, 32B distillatsiya nazorat nuqtasini yoki oddiy Qwen2.5-14B-Instruct relizini bildirmaydi.

Ishlab chiqaruvchi Qwen distillatsiya relizlari uchun 800,000 saralangan misolni tavsiflaydi va ularning konfiguratsiyalari hamda tokenizatorlaridagi o‘zgarishlarni qayd etadi. Ushbu modeldan foydalanganda DeepSeek reliz sozlamalarini saqlang. Model Qwen2.5 dan kelib chiqqan bo‘lsa ham, bu o‘zgarishlar muhim. 14B nazorat nuqtasining o‘z konfiguratsiyasi 48 qatlam, 40 so‘rov diqqat boshi va 8 kalit/qiymat boshini belgilaydi; maksimal pozitsiyalar 131,072 qilib o‘rnatilgan.

Foydali batafsil javob uchun nimalarni berish kerak

O‘quv yordami vazifasida masala va o‘rganuvchining yechim urinishini kiriting, so‘ng tushuntirish talab qiladigan o‘tishni belgilang. Modeldan tegishli shartni aniqlash, tuzatishni ayni belgilar bilan tushuntirish va natijani asoslash uchun zarur bo‘lgan bosqichgacha davom etishni so‘rang. Bu aloqasiz to‘liq dars yaratish o‘rniga javobni o‘rganuvchining haqiqiy qiyinchiligiga bog‘lab turadi.

Masalan, o‘rganuvchi ifoda nolga teng bo‘lishi mumkinligini aytmasdan unga bo‘lgan bo‘lishi mumkin. Asl tenglamani bering va shu almashtirishdan oldin qaysi holatlarni ko‘rib chiqish kerakligini so‘rang. Istalgan natija ruxsat etilgan holat, istisno holat va yakuniy yechimlar to‘plamini ajratishi mumkin. Bu taklif etilgan matematik vazifa bo‘lib, javob shaklini algebrani tushuntirish haqidagi umumiy so‘rov emas, shart belgilaydi.

Dasturlash savolida algoritm yoki funksiyani va aniq kirishni bering. Holat qanday o‘zgarishi va qaytgan natija nega kelib chiqishini so‘rang. Keyingi murojaat ommaviy funksiya imzosini saqlash yoki kirishni o‘zgartirmaslik kabi aniq cheklov ostida qayta ishlangan implementatsiyani so‘rashi mumkin. Izoh belgilanmagan implementatsiyaga bog‘liq bo‘lmasligi uchun tegishli yordamchi kod va kutilgan xatti-harakatni kiriting.

Mantiqiy taqqoslashda muqobillarni va har biri bajarishi shart bo‘lgan shartlarni aniqlang. Har bir yondashuv foydalanadigan farazlarni, tanlovni chiqarib tashlaydigan ziddiyatlarni va qolgan aniqlanmagan ma’lumotni so‘rang. Shunda ixcham qaror jadvali yakuniy materialga aylanishi mumkin, atrofidagi matn esa berilgan qoidalar uni qanday asoslashini tushuntiradi.

DeepSeek kompaniyasining topshiriq tavsiyalari

Ishlab chiqaruvchi system topshirig‘idan qochishni va barcha ko‘rsatmalarni bevosita user topshirig‘iga joylashtirishni tavsiya qiladi. Vazifa, chiqish talablari va zarur manba materialini birga joylashtirib, qaysi matn masala, qaysisi javob haqidagi ko‘rsatma ekanini aniq belgilang. Dastlabki Qwen formati o‘zaro almashtiriladi deb taxmin qilish o‘rniga chiqarilgan tokenizator va suhbat sozlamalaridan foydalaning.

Hujjatlashtirilgan temperature oralig‘i 0.5 dan 0.7 gacha, 0.6 tavsiya etiladi. DeepSeek buni takror va izchilsiz chiqishni kamaytirish bilan bog‘laydi. Matematik savollarda yakuniy natijasi LaTeX ramkasida berilgan batafsil javobni tavsiya qiladi. U model mulohaza blokini chetlab o‘tadigan holatlarni ham tavsiflaydi va ko‘zlangan mulohaza jarayonini rag‘batlantirish uchun javobni ochuvchi mulohaza belgisi bilan boshlashni tavsiya etadi.

Foydali matematik chiqish tanlangan usul, asoslangan almashtirishlar va alohida yakuniy ifodani o‘z ichiga olishi mumkin. Natija aniq yoki yaxlitlangan bo‘lishi kerakligini ayting va muhim bo‘lganda birliklarni belgilang. Kod uchun izohni taklif etilgan implementatsiyadan alohida so‘rang. Mantiq uchun yakuniy xulosani u amal qiladigan shartlar bilan birga so‘rang. Bu talablar mulohaza matnidan keyin o‘quvchi yoki ilova amalda nimadan foydalana olishini belgilaydi.

Kontekst va mazmun chegaralari

Joriy chiqarilgan konfiguratsiya maksimal pozitsiyalarni 131,072 qilib belgilaydi. Bu ushbu nazorat nuqtasining konfiguratsiya qiymati; har bir xizmat interfeysi haqidagi meros va’da emas. Ishlab chiqaruvchining 32,768 tokenli yaratish sozlamasi baholashning bir qismidir; u alohida qat’iy maksimal javob uzunligini belgilamaydi. Xuddi shunday, dastlabki Qwen Instruct modelining chiqish sig‘imini o‘z spetsifikatsiyasisiz ushbu o‘zgartirilgan mulohaza reliziga ko‘chirmaslik kerak.

Bu matn modeli. Matematik masala tasviridagi belgilar va shartlarni mulohaza vazifasidan oldin matnga aylantirish kerak, taklif etilgan kodni bajarish esa alohida dasturlash yoki hisoblash muhitini talab qiladi. Distillatsiya o‘qituvchiga avtomatik ish vaqti chaqiruvi yoki ichki mustaqil tekshiruvchini emas, R1 misollari bilan o‘qitishni bildiradi.

Belgilangan batafsil javob vazifasi uchun nomlangan 14B nazorat nuqtasidan foydalaning va masalaning belgilari, farazlari hamda maqsad natijasini saqlang. Amaliy maqsad — o‘quvchi tekshirishi mumkin bo‘lgan yechim: qaysi shartlar amal qiladi, har bir muhim qadam nega kelib chiqadi va qaysi yakuniy ifoda, implementatsiya yoki xulosa asl savolga javob beradi.

Amaliy vazifa

### Amaliy vazifa

Ingliz tilidagi texnik misol

```
Repair an algebraic division step

A student solves x(x - 3) = 2(x - 3) by dividing by x - 3 and concludes x = 2. Explain the missing case without changing the original equation. Separate the zero-divisor case from the nonzero case, then give the complete solution set and substitute each candidate back into the equation.
```

#### Kutiladigan natija

```
A case split, a complete solution set and a substitution check for each candidate.
```

#### Natijani tekshirish

```
The response checks the x - 3 = 0 case rather than silently dividing it away.
```

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`

[`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=chat)

DeepSeek /`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`

### Boshlash

DeepSeek-R1-Distill-Qwen-14B — Qwen2.5-14B va DeepSeek-R1 yaratgan misollarga asoslangan matnli mulohaza nazorat nuqtasi. U DeepSeek kompaniyasining o‘z tokenizatori, topshiriq tavsiyalari va reliz konfiguratsiyasi bilan batafsil matematik, dasturlash va mantiqiy javoblarni qo‘llaydi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Kirish

`text`

Chiqish

`text`

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar deepseek-ai/DeepSeek-R1-Distill-Qwen-14B | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar function Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`modalities` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar text | Standart— |
| Maydon`provider` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Ushbu Ultra matn marshrutida provider.options rad etiladi | Standart— |
| Maydon`cache_control.ttl` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Haqiqiy prompt-kesh joylarida 1h rad etiladi | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`messages` | Parametr talablarirole/content tuzilishidagi xabarlar massivi |
| Parametr`file_material` | Parametr talablariHaqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi |
| Parametr`optional_controls` | Parametr talablaristream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parametr`control_scope` | Parametr talablariModelga xos; foydalanuvchi funksiya vositalari hostingdagi vositalardan farq qiladi |
| Parametr`output_modalities` | Parametr talablaritext |
| Parametr`hosted_operations` | Parametr talablarifalse |
| Parametr`multimodal_input_binding` | Parametr talablarinull |

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.0002** / 1K token Chiqish · Chiqish tokenlari **$0.0002** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · OpenAI Chat

curlPython SDKPython oqimi

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
    if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='deepseek-ai/DeepSeek-R1-Distill-Qwen-14B',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(result.to_dict(mode="json"))
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='deepseek-ai/DeepSeek-R1-Distill-Qwen-14B',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

**Ailoot Ultra** [`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=chat)

#### Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

#### Chaqirish uchun tegishli ID lar

[`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`

[`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=messages)

DeepSeek /`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`

### Boshlash

DeepSeek-R1-Distill-Qwen-14B — Qwen2.5-14B va DeepSeek-R1 yaratgan misollarga asoslangan matnli mulohaza nazorat nuqtasi. U DeepSeek kompaniyasining o‘z tokenizatori, topshiriq tavsiyalari va reliz konfiguratsiyasi bilan batafsil matematik, dasturlash va mantiqiy javoblarni qo‘llaydi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

json · sse

### Ailoot da mavjud · kirish ma’lumotlari va usullar

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`

Kirish

`text`

Chiqish

`json`, `sse`

Chiqish formati

JSON yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar deepseek-ai/DeepSeek-R1-Distill-Qwen-14B | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages, max\_tokens |
| Parametr`optional_controls` | Parametr talablaristream |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 hujjatini o‘qing va uning matnini ko‘rsatilgan kirish yoki xabar kontenti satriga joylashtiring. |

Hayot sikli: `synchronous_or_streamed`

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.0002** / 1K token Chiqish · Chiqish tokenlari **$0.0002** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · Anthropic Messages

To‘liq minimal JSON so‘rov tanasicurl · O‘zingizning UTF-8 hujjatingizdan foydalaningPython · Natijani to‘liq saqlang

```json
{
  "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
  "max_tokens": 128,
  "messages": [
    {
      "role": "user",
      "content": "Summarize the incident report."
    }
  ],
  "stream": false
}
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'deepseek-ai/DeepSeek-R1-Distill-Qwen-14B', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```

```python
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'deepseek-ai/DeepSeek-R1-Distill-Qwen-14B', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError

api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
    raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
    with urlopen(request, timeout=120) as response:
        raw = response.read()
        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
    Path('result.json').write_bytes(error.read())
    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
    raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · Anthropic Messages

JSON yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Barcha kontent bloklari, fikrlash imzolari va haqiqiy vosita ishlatish IDlarini saqlang. SSE bloklarining barcha o‘zgarish qismlarini yig‘ing; birinchi matn bloki to‘liq chiqish emas.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`model` | Turstring |
| Maydon`content[]` | Turtext\|thinking\|tool\_use\|other content block |
| Maydon`stop_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

**Ailoot Ultra** [`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=messages)

#### Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

#### Chaqirish uchun tegishli ID lar

[`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`](https://ailoot.ai/models/uz/#m=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&route=Ultra&caller=deepseek-ai%2FDeepSeek-R1-Distill-Qwen-14B&fmt=messages)

FAQ · deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

Qanday kirish ma’lumotlari va natijalar mavjud?

`POST /v1/chat/completions` · `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`: `text` → `text` `POST /v1/messages` · `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`: `text` → `json`, `sse`

So‘rov qaysi maydonlardan foydalanadi?

`POST /v1/chat/completions` · `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`: `model`, `messages`, `max_tokens`, `stream`

Qanday cheklovlar amal qiladi?

`POST /v1/chat/completions` · `deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`: `messages.min_items`: `1`

Ailoot’ni Claude Code, OpenCode, Hermes yoki ilovangizga ulang.

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