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Chargen V2 8bpw EXL2 by Kooten

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Mistral   Pytorch   Quantized   Region:us

Chargen V2 8bpw EXL2 Benchmarks

LLME Score: 0.18421
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Chargen V2 8bpw EXL2 Parameters and Internals

LLM NameChargen V2 8bpw EXL2
Repository 🤗https://huggingface.co/Kooten/Chargen-v2-8bpw-exl2 
Required VRAM7.4 GB
Updated2024-10-18
MaintainerKooten
Model Typemistral
Model Files  7.4 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat32
Chargen V2 8bpw EXL2 (Kooten/Chargen-v2-8bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than Kooten/Chargen-v2-8bpw-exl2.

Rank the Chargen V2 8bpw EXL2 Capabilities

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Release v2024072803
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