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Openchat 3.5 0106 128K 4.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Openchat 3.5 0106 128K 4.0bpw H6 EXL2   URL Share it on

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  Arxiv:2303.08774   Arxiv:2309.11235   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   C-rlft   Conversational   Endpoints compatible   Exl2   Mistral   Openchat   Quantized   Region:us   Safetensors

Openchat 3.5 0106 128K 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Openchat 3.5 0106 128K 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
text-generation
LLM NameOpenchat 3.5 0106 128K 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/openchat-3.5-0106-128k-4.0bpw-h6-exl2 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM3.9 GB
Updated2024-11-21
MaintainerLoneStriker
Model Typemistral
Model Files  3.9 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16
Openchat 3.5 0106 128K 4.0bpw H6 EXL2 (LoneStriker/openchat-3.5-0106-128k-4.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/openchat-3.5-0106-128k-4.0bpw-h6-exl2.

Rank the Openchat 3.5 0106 128K 4.0bpw H6 EXL2 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  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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