DeepSeek R1 Distill Qwen 32B AWQ by Valdemardi

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  4-bit   Autotrain compatible   Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

DeepSeek R1 Distill Qwen 32B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 Distill Qwen 32B AWQ (Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ)

DeepSeek R1 Distill Qwen 32B AWQ Parameters and Internals

LLM NameDeepSeek R1 Distill Qwen 32B AWQ
Repository 🤗https://huggingface.co/Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ 
Base Model(s)  DeepSeek R1 Distill Qwen 32B   deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size32b
Required VRAM19.4 GB
Updated2025-03-12
MaintainerValdemardi
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   4.4 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Valdemardi/DeepSeek-R1-Distill-Qwen-32B-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227