deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
text-generation model by deepseek-ai
From the publisher
Model card & documentation
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Paper Link👁️ We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. NOTE: Before running DeepSeek-R1 series models locally, we kindly recommend reviewing the Usage Recommendation section. Post-Training: Large-Scale Reinforcement Learning on the Base Model Distillation: Smaller Models Can…
Read the full model card ↗ · Preview checked 2026-10-02T07:02:32.313Z
Inside the original model card — Document outline
- DeepSeek-R1
- 1. Introduction
- 2. Model Summary
- 3. Model Downloads
- DeepSeek-R1 Models
- DeepSeek-R1-Distill Models
- 4. Evaluation Results
- DeepSeek-R1-Evaluation
- Distilled Model Evaluation
- 5. Chat Website & API Platform
- 6. How to Run Locally
- DeepSeek-R1 Models
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B is a text-generation model repository published by deepseek-ai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 942,501
- Cumulative likes
- 1,593
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 1,777,088,000
- Architecture
- Qwen2ForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2025-01-20T09:04:18.000Z
- Last modified
- 2025-02-24T03:32:35.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.821Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.