Downloads · 30 days
198
12% of all-time downloads
amd/DeepSeek-R1-Distill-Qwen-7B-onnx-ryzenai-npu
DeepSeek-R1-Distill-Qwen-7B-onnx-ryzenai-npu is a machine learning model from amd. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
- Introduction This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - Quantization Strategy - AWQ / Group 128 / Asymmetric / BFP16 acti…
Downloads · 30 days
198
12% of all-time downloads
All-time downloads
1.7K
Public
Repo size
8.9 GB
Likes
0
Public
Click a slice to open those files.
.bin3.9 GB · 44%
From the Hugging Face model README
The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 30.7507.
The average MMLU scores are astronomy - 58.55, philosophy - 50.16 and management - 46.6.
Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.