Blue Orchid 2x7b 8.0bpw H8 EXL2 by LoneStriker

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  Autotrain compatible   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Blue Orchid 2x7b 8.0bpw H8 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Blue Orchid 2x7b 8.0bpw H8 EXL2 (LoneStriker/Blue-Orchid-2x7b-8.0bpw-h8-exl2)

Blue Orchid 2x7b 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
Roleplaying, Storywriting
Input Output 
Input Format:
{system prompt} {prompt}
Accepted Modalities:
text
Output Format:
Character response
Performance Tips:
The Alpaca prompt template should also work fine.
LLM NameBlue Orchid 2x7b 8.0bpw H8 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Blue-Orchid-2x7b-8.0bpw-h8-exl2 
Model Size7b
Required VRAM13 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-2   4.4 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Blue-Orchid-2x7b-8.0bpw-h8-exl2.

Rank the Blue Orchid 2x7b 8.0bpw H8 EXL2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217