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README.md

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+---
+tags:
+- fp8
+- quantized
+- mistral
+- roleplay
+- creative-writing
+- reasoning
+base_model: TheDrummer/Behemoth-R1-123B-v2
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# Behemoth-R1-123B-v2 FP8 Dynamic
+
+FP8 Dynamic quantization of [TheDrummer/Behemoth-R1-123B-v2](https://huggingface.co/TheDrummer/Behemoth-R1-123B-v2) using llmcompressor.
+
+## Model Details
+
+- **Base Model**: TheDrummer/Behemoth-R1-123B-v2 (Mistral Large 2411 finetune)
+- **Quantization**: FP8 Dynamic (W8A8) via llmcompressor
+- **Scheme**: FP8_DYNAMIC, lm_head excluded
+- **Size**: ~123 GB (vs 246 GB FP16)
+- **Format**: SafeTensors with compressed-tensors metadata
+
+## Usage with vLLM
+
+```bash
+python3 -m vllm.entrypoints.openai.api_server \
+    --model Irvollo/Behemoth-R1-123B-v2-FP8-Dynamic \
+    --quantization compressed-tensors \
+    --dtype bfloat16 \
+    --max-model-len 32768 \
+    --gpu-memory-utilization 0.95 \
+    --enable-prefix-caching \
+    --trust-remote-code
+```
+
+## Reasoning / Thinking
+
+Supports native reasoning via `<think>` tag prefill:
+
+```json
+{
+  "messages": [
+    {"role": "user", "content": "Your question"},
+    {"role": "assistant", "content": "<think>\n"}
+  ],
+  "continue_final_message": true,
+  "add_generation_prompt": false
+}
+```
+
+## Hardware Requirements
+
+- **Single GPU**: H200 NVL (141 GB) — tight with ~18 GB KV cache
+- **Recommended**: 2x A100 80GB or H100 for comfortable KV headroom
+
+## Quantization Details
+
+- Quantized on 2x NVIDIA B200 (358 GB VRAM)
+- Calibration: 616 linear layers in <1 second
+- Total pipeline: ~11 minutes
+- Tool: [llmcompressor](https://github.com/vllm-project/llm-compressor)
+
+## Credits
+
+- Original model by [TheDrummer](https://huggingface.co/TheDrummer)
+- FP8 quantization by [Irvollo](https://huggingface.co/Irvollo)