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amanwalksdownthestreet/DeepSeek-R1-Distill-Llama-70B-MXFP8
DeepSeek-R1-Distill-Llama-70B-MXFP8 is a text generation model from amanwalksdownthestreet. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
MXFP8 quantization of deepseek-ai/DeepSeek-R1-Distill-Llama-70B. Weights only — prompt format, chat template, <think reasoning behavior, and license (MIT) are the base model's.
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From the Hugging Face model README
MXFP8 quantization of deepseek-ai/DeepSeek-R1-Distill-Llama-70B. Weights only — prompt format, chat template, <think> reasoning behavior, and license (MIT) are the base model's.
Requires Blackwell (compute capability 12.0). MXFP8 needs Blackwell tensor-core support in vLLM; does not run on Ada/Hopper.
compressed-tensors format (llm-compressor 0.12.1)lm_head, embeddings. KV cache: BF16neuralmagic/calibration (LLM), max seq 1024vllm serve <path-or-repo> --quantization compressed-tensors \
--max-model-len 49152 --gpu-memory-utilization 0.95
Reasoning model: expect <think>…</think> traces per the base model's chat template (--reasoning-parser deepseek_r1 in vLLM separates them).
| Benchmark | DeepSeek paper (BF16) | MXFP8 (this repo) |
|---|---|---|
| MMLU-Pro (5-shot, non-thinking, /v1/completions) | not published | 67.50 ±0.41 |
| GPQA-Diamond | 65.2 | pending* |
| AIME24 | 70.0 (multi-sample avg) | pending* |
* The first GPQA/AIME24 run was invalidated by eval-infrastructure contention (195/198 GPQA responses returned empty — two sweeps fought over one endpoint); numbers will land after a clean re-run. The MMLU-Pro row is a deliberate non-thinking self-baseline (raw completions, no chat template, no <think> budget) — do not compare it against thinking-mode numbers.
All credit for the model to DeepSeek; this repo is a Blackwell-native repack.