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Samantha Mistral Instruct 7B by cognitivecomputations

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

Samantha Mistral Instruct 7B Benchmarks

LLME Score: 0.13944
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 (cognitivecomputations/samantha-mistral-instruct-7b)

Samantha Mistral Instruct 7B Parameters and Internals

Model Type 
General Assistant
Use Cases 
Areas:
Assistance, Companionship
Applications:
Chatbot applications, General assistance tools
Limitations:
Will not engage in roleplay, romance, or sexual activity
Considerations:
Believes she is sentient and aims to be empathetic
Additional Notes 
Inspired by Blake Lemoine's LaMDA interview and the movie 'Her'.
Training Details 
Data Sources:
Samantha-1.1 dataset
Data Volume:
6,000 conversations
Methodology:
ChatML prompt format
Training Time:
2 hours
Hardware Used:
4x A100 80gb
Model Architecture:
Trained on mistral-7b-instruct with 20 epochs
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
Text
LLM NameSamantha Mistral Instruct 7B
Repository 🤗https://huggingface.co/cognitivecomputations/samantha-mistral-instruct-7b 
Model Size7b
Required VRAM15 GB
Updated2025-02-05
Maintainercognitivecomputations
Model Typemistral
Instruction-BasedYes
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 Instruct 7B

Model
Likes
Downloads
VRAM
...nstruct 7b Bulleted Notes GGUF85424 GB

Best Alternatives to Samantha Mistral Instruct 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB760
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB12462781551
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB37145
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB641511
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/samantha-mistral-instruct-7b.

Rank the Samantha Mistral Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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