Deepseek r1 distill llama 8b awq
Model Overview¶
This quantized model was created using AutoAWQ.
DeepSeek-R1 and its distilled models represent a significant advancement in reasoning capabilities for LLMs by combining RL, SFT, and distillation. The DeepSeek-R1-Distill-Llama-8B is derived from the Llama3.1-8B large language model (LLM), optimized for efficient performance while retaining high-quality generative capabilities and is particularly suited for scenarios where computational efficiency is critical.
- Model Architecture: DeepSeek-R1-Distill-Llama-8B is based on a transformer architecture, distilled from the larger Llama-3.1-8B model to reduce computational requirements while maintaining competitive performance. The distillation process ensures that the model retains the core capabilities of the original model, making it suitable for a wide range of text generation tasks.
- Repository: DeepSeek-V3
- Model Source: casperhansen/deepseek-r1-distill-llama-8b-awq
- License: MIT License.
QPC Configurations¶
| Precision | SoCs / Tensor slicing | NSP-Cores (per SoC) | Full Batch Size | Chunking Prompt Length | Context Length (CL) | Generated URL | Download |
|---|---|---|---|---|---|---|---|
| MXFP6 | 4 | 16 | 1 | 128 | 8192 | https://dc00tk1pxen80.cloudfront.net/SDK1.19.6/casperhansen/deepseek-r1-distill-llama-8b-awq/qpc_16cores_128pl_8192cl_1fbs_4devices_mxfp6_mxint8.tar.gz | Download |