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CollectiveCognition V1.1 Mistral 7B GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  CollectiveCognition V1.1 Mistral 7B GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:quantized:teknium/c... Base model:teknium/collectivec... Dataset:collectivecognition/ch...   Distillation   En   Finetuned   Gpt4   Gptq   Instruct   Mistral   Mistral-7b   Quantized   Region:us   Safetensors   Sharegpt   Synthetic data
Model Card on HF 🤗: https://huggingface.co/TheBloke/CollectiveCognition-v1.1-Mistral-7B-GPTQ 

CollectiveCognition V1.1 Mistral 7B GPTQ Benchmarks

LLME Score: 0.11342
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 GPTQ (TheBloke/CollectiveCognition-v1.1-Mistral-7B-GPTQ)
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CollectiveCognition V1.1 Mistral 7B GPTQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
research, commercial applications
Applications:
TruthfulQA benchmarking, limited data training
Primary Use Cases:
outperforms many 70B models on the TruthfulQA benchmark, handles common misconceptions and hallucinations well
Additional Notes 
Trained on a small dataset but shows high performance in TruthfulQA.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
CollectiveCognition/chats-data-2023-09-27
Data Volume:
100 data points
Methodology:
fine-tuned using the Mistral approach.
Context Length:
4096
Training Time:
3 minutes
Hardware Used:
single NVIDIA 4090
Model Architecture:
Mistral
Input Output 
Input Format:
USER: {prompt} ASSISTANT:
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Select appropriate quantization parameters for hardware compatibility.
LLM NameCollectiveCognition V1.1 Mistral 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/CollectiveCognition-v1.1-Mistral-7B-GPTQ 
Model NameCollectiveCognition v1.1 Mistral 7B
Model CreatorTeknium
Base Model(s)  teknium/CollectiveCognition-v1.1-Mistral-7B   teknium/CollectiveCognition-v1.1-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-09-17
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CollectiveCognition-v1.1-Mistral-7B-GPTQ.

Rank the CollectiveCognition V1.1 Mistral 7B GPTQ 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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Release v20241124
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