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Samantha Mistral Instruct 7B Bulleted Notes by cognitivetech

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Samantha Mistral Instruct 7B Bulleted Notes is an open-source language model by cognitivetech. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

  Autotrain compatible Base model:finetune:quixiai/sa... Base model:quixiai/samantha-mi...   Conversational   En   Endpoints compatible   Instruct   Mistral   Notes   Region:us   Safetensors   Sharded   Summary   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/cognitivetech/samantha-mistral-instruct-7b-bulleted-notes 

Samantha Mistral Instruct 7B Bulleted Notes Benchmarks

LLME Score: 0.12565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha Mistral Instruct 7B Bulleted Notes (cognitivetech/samantha-mistral-instruct-7b-bulleted-notes)
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Samantha Mistral Instruct 7B Bulleted Notes Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
Creating comprehensive bulleted notes, Summarization of long and short texts, Book summarization
Limitations:
Not engaging in illegal activities, romance, roleplay, or sexual content
Considerations:
Focus on friendly, honest, patient AI interactions
Additional Notes 
First successful run of this kind achieved the desired format.
Training Details 
Data Sources:
5000 'Document', 'Output' example pairs of bulleted notes, texts of 25 favorite books in Pscyhology
Methodology:
Trained using Vicuna/FastChat code, deepspeed-zero3 optimization
Training Time:
2 hours on 4x A100 80gb for 20 epochs
Hardware Used:
4x A100 80gb
Model Architecture:
Based on GPTr-4 model
LLM NameSamantha Mistral Instruct 7B Bulleted Notes
Repository 🤗https://huggingface.co/cognitivetech/samantha-mistral-instruct-7b-bulleted-notes 
Base Model(s)  Samantha Mistral Instruct 7B   cognitivecomputations/samantha-mistral-instruct-7b
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainercognitivetech
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cognitivetech/samantha-mistral-instruct-7b-bulleted-notes.

Rank the Samantha Mistral Instruct 7B Bulleted Notes 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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