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Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed   URL Share it on

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  1bit   Autotrain compatible Base model:cognitivecomputatio... Base model:finetune:cognitivec...   Endpoints compatible   Mistral   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-samantha-mistral-7b-HQQ-1bit-smashed 

Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed Benchmarks

LLME Score: 0.20016
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed (PrunaAI/cognitivecomputations-samantha-mistral-7b-HQQ-1bit-smashed)

Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed Parameters and Internals

Model Type 
compressed, turbo, tiny, green
Use Cases 
Areas:
General AI model applications that benefit from compression
Additional Notes 
Model can be run using safetensors.
Training Details 
Data Sources:
WikiText
Methodology:
Model is compressed using hqq with WikiText as calibration data if needed by the compression method.
Input Output 
Accepted Modalities:
text
Performance Tips:
Directly test efficiency gains in your use-cases as efficiency can vary based on different factors.
LLM NameCognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-samantha-mistral-7b-HQQ-1bit-smashed 
Base Model(s)  Samantha Mistral 7B   cognitivecomputations/samantha-mistral-7b
Model Size7b
Required VRAM1.6 GB
Updated2025-01-20
MaintainerPrunaAI
Model Typemistral
Model Files  1.6 GB
Quantization Type1bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
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 PrunaAI/cognitivecomputations-samantha-mistral-7b-HQQ-1bit-smashed.

Rank the Cognitivecomputations Samantha Mistral 7B HQQ 1bit Smashed 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 v20241227
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