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Stem Coder 7B Test by cfahlgren1

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  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Codegen   Conversational Dataset:knowrohit07/saraswati-...   Dataset:m-a-p/code-feedback   En   Endpoints compatible   Gguf   Mistral   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/cfahlgren1/stem-coder-7b-test 

Stem Coder 7B Test Benchmarks

LLME Score: 0.17729
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stem Coder 7B Test (cfahlgren1/stem-coder-7b-test)

Stem Coder 7B Test Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
StemCoder-7B was a test to finetune Mistral-7B on 9k instructions (albeit, many are multi-turn) via a free Google Colab instance.
LLM NameStem Coder 7B Test
Repository 🤗https://huggingface.co/cfahlgren1/stem-coder-7b-test 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2024-12-19
Maintainercfahlgren1
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Generates CodeYes
Model ArchitectureAutoModel
Licenseapache-2.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>

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Note: green Score (e.g. "73.2") means that the model is better than cfahlgren1/stem-coder-7b-test.

Rank the Stem Coder 7B Test 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 v20241217
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