DistilabelBeagle14 7B 5.0bpw H6 EXL2 by LoneStriker

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  Arxiv:1910.09700   Autotrain compatible Base model:finetune:mlabonne/b... Base model:mlabonne/beagle14-7...   Conversational   Distilabel   Dpo   Endpoints compatible   Exl2   Lazymergekit   Merge   Mergekit   Mistral   Quantized   Region:us   Rlaif   Rlhf   Safetensors

DistilabelBeagle14 7B 5.0bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DistilabelBeagle14 7B 5.0bpw H6 EXL2 (LoneStriker/DistilabelBeagle14-7B-5.0bpw-h6-exl2)

DistilabelBeagle14 7B 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
More Information Needed
Supported Languages 
English (NLP)
LLM NameDistilabelBeagle14 7B 5.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/DistilabelBeagle14-7B-5.0bpw-h6-exl2 
Base Model(s)  Beagle14 7B   mlabonne/Beagle14-7B
Model Size7b
Required VRAM4.7 GB
Updated2025-02-05
MaintainerLoneStriker
Model Typemistral
Model Files  4.7 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/DistilabelBeagle14-7B-5.0bpw-h6-exl2.

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