CollectiveCognition V1.1 Mistral 7B 5.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible Base model:finetune:nousresear... Base model:nousresearch/llama-... Dataset:collectivecognition/ch...   Distillation   En   Endpoints compatible   Exl2   Finetuned   Gpt4   Instruct   Mistral   Mistral-7b   Pytorch   Quantized   Region:us   Sharegpt   Synthetic data

CollectiveCognition V1.1 Mistral 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").

CollectiveCognition V1.1 Mistral 7B 5.0bpw H6 EXL2 Parameters and Internals

LLM NameCollectiveCognition V1.1 Mistral 7B 5.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/CollectiveCognition-v1.1-Mistral-7B-5.0bpw-h6-exl2 
Base Model(s)  Llama 2 13B Hf   NousResearch/Llama-2-13b-hf
Model Size13b
Required VRAM4.7 GB
Updated2024-09-18
MaintainerLoneStriker
Model Typemistral
Model Files  4.7 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
CollectiveCognition V1.1 Mistral 7B 5.0bpw H6 EXL2 (LoneStriker/CollectiveCognition-v1.1-Mistral-7B-5.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/CollectiveCognition-v1.1-Mistral-7B-5.0bpw-h6-exl2.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803