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The Trinity Coder 7B by S-miguel

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  Merged Model   Arxiv:2306.01708   Ai programming assistant   Autotrain compatible   Code generation   Codegen   En   Endpoints compatible   Logical reasoning   Mistral   Problem solving   Region:us   Safetensors   Sharded   Tensorflow

The Trinity Coder 7B Benchmarks

ARC: 69.37 vs 96.7 (so35)-28.3%
HellaSwag: 86.17 vs 95.3 (gpt4)-9.6%
MMLU: 64.9 vs 88.3 (so35)-26.5%
TruthfulQA: 61.25 vs 59 (gpt4)3.8%
WinoGrande: 81.77 vs 87.5 (gpt4)-6.5%
GSM8K: 73.39 vs 96.4 (so35)-23.9%
LLME Score: 0.21519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

The Trinity Coder 7B Parameters and Internals

LLM NameThe Trinity Coder 7B
Repository 🤗https://huggingface.co/S-miguel/The-Trinity-Coder-7B 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-20
MaintainerS-miguel
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
The Trinity Coder 7B (S-miguel/The-Trinity-Coder-7B)

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Note: green Score (e.g. "73.2") means that the model is better than S-miguel/The-Trinity-Coder-7B.

Rank the The Trinity Coder 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v2024072803
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