Alex Getmansinyal AI awal

DeepSeek R1

DeepSeek

Dirilis Diperbarui
Jendela konteks
64K
64.000 token

Linimasa

  1. · Versi bobot · tautan bukti
  1. · Tautan bukti · GitHub search · DeepSeek · commits · warejohn4366/war · @warejohn4366
    Kutipan
    随着AI发展,企业和开发者希望快速应用AI模型。本文介绍在阿里云PAI Model Gallery上零代码一键部署DeepSeek-V3和DeepSeek-R1模型的方法,包括准备工作、部署步骤、调用方式等。这种方式简化流程、提高效率、降低成本,助力AI能力落地。
  2. · Tautan bukti · GitHub search · DeepSeek · pulls · overnightworks/speech · @dependabot[bot]
    Kutipan
    XTX, <a href="https://redirect.github.com/vllm-project/vllm/issues/59774">#59774</a>); and gfx1250 enablement for gpt-oss-120b, DeepSeek-R1, DeepSeek-V4-Flash and MiniMax-M3 (<a href="https://redirect.github.com/vllm-project/vllm/issues/58800">#58800</a>).</li>
  3. · Tautan bukti · GitHub search · DeepSeek · pulls · anomalyco/models.dev · @models-dev-automation[bot]
    Kutipan
    Instruct-Turbo`, `openai/gpt-oss-120b-Turbo`, `google/gemma-4-31B-it-Ultra`, `mattshumer/Reflection-Llama-3.1-70B`, `NovaSky-AI/Sky-T1-32B-Preview`, `deepseek-ai/DeepSeek-R1`, `Qwen/Qwen2-7B-Instruct`, `Qwen/QwQ-32B`, `google/gemma-2-9b-it`, `google/gemma-4-31B-it-turbo`, `Qwen/Qwen3.5-0.8B`, `deepseek-ai/DeepSeek-V3-0324-Turbo`, `openbmb/MiniCPM-Llama3-V-2_5`, `microsoft/phi-4`, `inclusionAI/Ling-3.0-flash-VL`, `Qwen/Qwen3-VL-30B-A3B-Thinking`, `MiniMaxAI/MiniMax-M2.7-Turbo`, `deepseek-ai
  4. · Tautan bukti · GitHub search · DeepSeek · pulls · ROCm/aiter · @karverma-amd
    Kutipan
    Tuned configs for DeepSeek-R1 MLA-absorb bmms (B=128). Previously fell back to DEFAULT (untuned): 5.5x slower at decode M~1536 . Lets the BF16 MLA-absorb path run
  5. · Tautan bukti · GitHub search · DeepSeek · pulls · NVIDIA/TensorRT-LLM · @moraxu
  6. · Tautan bukti · GitHub search · DeepSeek · pulls · NVIDIA/TensorRT-LLM · @farazkh80
    Kutipan
    with all of its KV remote and MLA (DeepSeek-R1 shape) 1.43x, which is why allocation and placement keep pages local. Partitioned attention rejects FlashMLA, beam
  7. · Entri katalog · GitHub · openai/openai-agents-python · code
    Kutipan
    object="chat.completion.chunk", choices=[Choice(index=0, delta=delta)], ) for delta in [*reasoning_deltas, ChoiceDelta(content="answer")] ] events = await _collect_handler_events(*chunks, model="deepseek-r1") completed_event = next(event for event in events if event.type == "response.completed") reasoning_item = completed_event.response.output[0] assert isinstance(reasoning_item, ResponseReasoningItem) assert reasoning_item.summary[0].text == "summary" assert reasoning_item.content assert [part.text for part in reasoning_item.content] == ["raw"] assert "_chat_completions_reasoning_field" not in cast(Any, reasoning_item).provider_data replayed_messages = Converter.items_to_messages( [item.model_dump() for item in completed_event.response.output], model="deepseek-r1", ) assert len

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

Sinyal 1

Spesifikasi

DeepSeek R1 adalah model AI dari DeepSeek dengan bobot terbuka, dirilis pada 2025-01-20. Jendela konteksnya sebesar 64.000 token.

Jendela konteks
64.000
Bobot
Terbuka

Pertanyaan

Seberapa besar jendela konteks DeepSeek R1?

Jendela konteksnya sebesar 64.000 token.

Apakah bobot model DeepSeek R1 tersedia untuk umum?

Ya. DeepSeek menerbitkan bobot model.

Kapan DeepSeek R1 dirilis?

2025-01-20.