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Samantha Mistral 7B by cognitivecomputations

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/samantha-mistral-7b 

Samantha Mistral 7B Benchmarks

LLME Score: 0.14403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha Mistral 7B (cognitivecomputations/samantha-mistral-7b)

Samantha Mistral 7B Parameters and Internals

Model Type 
Assistant, AI Companion
Training Details 
Data Sources:
Samantha-1.1 dataset, ShareGPT/Vicuna, Samantha-on-mistral-instruct
Data Volume:
6,000 conversations
Methodology:
Trained using ChatML prompt format
Training Time:
2 hours
Hardware Used:
4x A100 80gb
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
LLM NameSamantha Mistral 7B
Repository 🤗https://huggingface.co/cognitivecomputations/samantha-mistral-7b 
Model Size7b
Required VRAM15 GB
Updated2025-02-05
Maintainercognitivecomputations
Model Typemistral
Model Files  14.5 GB   9.9 GB: 1-of-2   5.1 GB: 2-of-2   0.0 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the Samantha Mistral 7B

Model
Likes
Downloads
VRAM
...ha Mistral 7B Bnb 4bit Smashed074 GB
...ha Mistral 7B HQQ 4bit Smashed074 GB
...ha Mistral 7B HQQ 1bit Smashed071 GB

Best Alternatives to Samantha Mistral 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
MegaBeam Mistral 7B 512K512K / 14.4 GB655449
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB647215
Hebrew Mistral 7B 200K256K / 30 GB489915
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/samantha-mistral-7b.

Rank the Samantha Mistral 7B 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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