Qwen2.5 ColdBrew Antrax by SvalTek

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  4bit   Autotrain compatible Base model:merge:svaltek/coldb... Base model:merge:theros/qwen2.... Base model:svaltek/coldbrew-60... Base model:theros/qwen2.5-cold...   Conversational   Endpoints compatible   Merge   Mergekit   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 ColdBrew Antrax Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 ColdBrew Antrax (SvalTek/Qwen2.5-ColdBrew-Antrax)

Qwen2.5 ColdBrew Antrax Parameters and Internals

LLM NameQwen2.5 ColdBrew Antrax
Repository ๐Ÿค—https://huggingface.co/SvalTek/Qwen2.5-ColdBrew-Antrax 
Base Model(s)  Theros/Qwen2.5-ColdBrew-R1   ColdBrew 600 4bit   Theros/Qwen2.5-ColdBrew-R1   SvalTek/ColdBrew-600_4bit
Model Size7.6b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerSvalTek
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151666
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Qwen2.5-ColdBrew-Antrax.

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