Tinymistral V2 Pycoder Instruct 248M by jtatman

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  Autotrain compatible   Code Dataset:jtatman/pile python in... Dataset:jtatman/python-code-da... Dataset:jtatman/python-github-...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors

Tinymistral V2 Pycoder Instruct 248M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tinymistral V2 Pycoder Instruct 248M Parameters and Internals

LLM NameTinymistral V2 Pycoder Instruct 248M
Repository ๐Ÿค—https://huggingface.co/jtatman/tinymistral-v2-pycoder-instruct-248m 
Model Size248m
Required VRAM1 GB
Updated2024-09-07
Maintainerjtatman
Model Typemistral
Instruction-BasedYes
Model Files  1.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32009
Torch Data Typefloat32
Tinymistral V2 Pycoder Instruct 248M (jtatman/tinymistral-v2-pycoder-instruct-248m)

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Note: green Score (e.g. "73.2") means that the model is better than jtatman/tinymistral-v2-pycoder-instruct-248m.

Rank the Tinymistral V2 Pycoder Instruct 248M 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 v2024072803