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Cognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed by PrunaAI

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Cognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 7b LLM, VRAM: 4.5GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  4-bit   4bit Base model:cognitivecomputatio... Base model:quantized:cognitive...   Bitsandbytes   Mistral   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-samantha-mistral-7b-bnb-4bit-smashed 

Cognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed Benchmarks

LLME Score: 0.13989
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 Bnb 4bit Smashed (PrunaAI/cognitivecomputations-samantha-mistral-7b-bnb-4bit-smashed)
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Cognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model is compressed with llm-int8 and uses safetensors format. Calibration data used: WikiText. Naming convention adds 'turbo', 'tiny', or 'green' for models achieving <90% of the original's inference metrics.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Test efficiency gains directly in your use-cases; the first run might take more memory due to CUDA overheads.
LLM NameCognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-samantha-mistral-7b-bnb-4bit-smashed 
Base Model(s)  Samantha Mistral 7B   cognitivecomputations/samantha-mistral-7b
Model Size7b
Required VRAM4.5 GB
Updated2025-09-23
MaintainerPrunaAI
Model Typemistral
Model Files  4.5 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Cognitivecomputations Samantha Mistral 7B Bnb 4bit Smashed

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...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB11
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB11
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB35143322
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1256736
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-samantha-mistral-7b-bnb-4bit-smashed.

Rank the Cognitivecomputations Samantha Mistral 7B Bnb 4bit 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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