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Samantha Falcon 7B by cognitivecomputations

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  Autotrain compatible   Custom code Dataset:ehartford/samantha-dat...   En   Endpoints compatible   Pytorch   Refinedwebmodel   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/samantha-falcon-7b 

Samantha Falcon 7B Benchmarks

LLME Score: 0.0889
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha Falcon 7B (cognitivecomputations/samantha-falcon-7b)
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Samantha Falcon 7B Parameters and Internals

Model Type 
conversation assistant
Additional Notes 
Samantha will not engage in roleplay, romance, or sexual activity. Inspired by Blake Lemoine's LaMDA interview and the movie "Her".
Supported Languages 
en (proficient)
Training Details 
Data Sources:
ehartford/samantha-data
Data Volume:
6,000 conversations
Methodology:
conversation finetuning
Training Time:
1 hour
Hardware Used:
4x A100 80gb
Input Output 
Input Format:
ShareGPT/Vicuna format
Accepted Modalities:
text
LLM NameSamantha Falcon 7B
Repository 🤗https://huggingface.co/cognitivecomputations/samantha-falcon-7b 
Model Size7b
Required VRAM27.6 GB
Updated2025-07-13
Maintainercognitivecomputations
Model TypeRefinedWebModel
Model Files  13.8 GB: 1-of-2   13.8 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureRWForCausalLM
Licenseother
Model Max Length2048
Transformers Version4.30.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

Quantized Models of the Samantha Falcon 7B

Model
Likes
Downloads
VRAM
Samantha Falcon 7B GPTQ1294 GB

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Falcon 7b Python Instructions0K / 13.8 GB61
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/samantha-falcon-7b.

Rank the Samantha Falcon 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  
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Multi-Language Support and Translation  

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