amd/DeepSeek-R1-Distill-Llama-70B-dml-int4-awq-block-128

By amd · ↓ 3 · ♥ 5 · Updated 2025-05-07

What's in this repo

This page lists the files in amd/DeepSeek-R1-Distill-Llama-70B-dml-int4-awq-block-128, including model.onnx.

1 ONNX models (.onnx files)
11 files, including 7 .json, 1 .md, 1 .onnx, 1 .data
Last updated 2025-05-07

ONNX files

File	Size	Download
model.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

This DML model is prepared using block-wise quantization with block size as 128.

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Model info

onnx base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-70B base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-70B license:mit region:us

↓ 3 ♥ 5

Created: 2025-05-06

Updated: 2025-05-07

View on Hugging Face

Files (11)

.gitattributes

README.md

config.json

genai_config.json

model.onnx ONNX

model.onnx.data

new_tokenizer.json

new_tokenizer_config.json

special_tokens_map.json

tokenizer.json

tokenizer_config.json

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