BurningBruce 003 EXL2 B8.0 by h2m

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  Arxiv:2101.03961   Autotrain compatible   Conversational   En   Endpoints compatible   Exl2   Merge   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

BurningBruce 003 EXL2 B8.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BurningBruce 003 EXL2 B8.0 (h2m/BurningBruce-003-exl2-b8.0)

BurningBruce 003 EXL2 B8.0 Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Use Cases 
Areas:
research, development
Additional Notes 
This model is a Mixture of Experts (MoE) made with mergekit.
Supported Languages 
en (English)
Input Output 
Accepted Modalities:
text
LLM NameBurningBruce 003 EXL2 B8.0
Repository ๐Ÿค—https://huggingface.co/h2m/BurningBruce-003-exl2-b8.0 
Model Size7b
Required VRAM24.3 GB
Updated2025-02-05
Maintainerh2m
Model Typemixtral
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than h2m/BurningBruce-003-exl2-b8.0.

Rank the BurningBruce 003 EXL2 B8.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227