DeepSeek R1 Distill Llama 70B
R1 reasoning capabilities distilled into a Llama 3.3 70B base. The most accessible way to run R1-class reasoning locally — fits on a single H100 in fp16 or on a 4090 at Q4. Inherits Llama 3's community licence (commercial use under 700M MAU).
Great pick for production reasoning workloads where the full R1 is too expensive to host but o1/R1-style quality is required.
- Parameters
- 70B
- Context length
- 128K
- Modality
- text
- Released
- 2025-01-20
Memory & hardware
- VRAM (fp16)
- 140 GB
- VRAM (Q4)
- 42 GB
- Recommended
- 1× H100 80GB or RTX 4090 (Q4)
- Quantizations
- fp16, q8_0, q5_k_m, q4_k_m
License: Llama 3 Community License
- SPDX
- —
- Commercial use
- Yes
- Modification
- Yes
- Redistribution
- Yes
Benchmarks
Hosted inference pricing
USD per million tokens.
| Provider | Input | Output | |
|---|---|---|---|
| groqCheapest | $0.75 | $0.99 |
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
ollama run deepseek-r1:70b
vllm serve deepseek-ai/DeepSeek-R1-Distill-Llama-70B
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Llama-70B")
model = AutoModelForCausalLM.from_pretrained(
"deepseek-ai/DeepSeek-R1-Distill-Llama-70B", device_map="auto", torch_dtype="auto"
)deepseek-ai/DeepSeek-R1-Distill-Llama-70B Related models
Same family or similar size — useful when shopping around.
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- Context
- 128K
- License
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- License
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- Context
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- License
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- Context
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- License
- llama-3
- VRAM Q4
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Meta's December 2024 refresh of Llama 3 70B that closes most of the gap with Llama 3.1 405B for chat workloads while remaining tractable on a single H100. Strong instruction following, robust tool-use behaviour, and a 128K context window make it the default choice for production chat at 70B scale. The 3.3 release was trained on a refreshed instruction-tuning data mix and benefits from Meta's most recent alignment work. It outperforms the much larger 3.1 405B on several reasoning benchmarks at a fraction of inference cost. The licence is the Llama 3 Community License, which permits commercial use unless your service exceeds 700M monthly active users. Good pick for: production chat at scale, RAG over long documents, agentic workflows where tool use matters, and any 70B-tier replacement for closed proprietary models.
- Context
- 128K
- License
- llama-3
- VRAM Q4
- 42 GB
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- Context
- 128K
- License
- qwen
- VRAM Q4
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