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Tinymistral V2 Pycoder Instruct 248M V1 by jtatman

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Tinymistral V2 Pycoder Instruct 248M V1 is an open-source language model by jtatman. Features: 248m LLM, VRAM: 0.5GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.11.

  Endpoints compatible   Instruct   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/jtatman/tinymistral-v2-pycoder-instruct-248m-v1 

Tinymistral V2 Pycoder Instruct 248M V1 Benchmarks

LLME Score: 0.11084
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 V1 (jtatman/tinymistral-v2-pycoder-instruct-248m-v1)
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Tinymistral V2 Pycoder Instruct 248M V1 Parameters and Internals

LLM NameTinymistral V2 Pycoder Instruct 248M V1
Repository 🤗https://huggingface.co/jtatman/tinymistral-v2-pycoder-instruct-248m-v1 
Model Size248m
Required VRAM0.5 GB
Updated2026-05-17
Maintainerjtatman
Model Typemistral
Instruction-BasedYes
Model Files  0.5 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

Best Alternatives to Tinymistral V2 Pycoder Instruct 248M V1

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Context / RAM
Downloads
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...adrin TinyMistral248M Instruct32K / 0.5 GB21277
TinyMistral 248M V2.5 Instruct32K / 1 GB211
TinyMistral 248M Instruct32K / 1 GB85112
Tinymistv132K / 0.5 GB170
...istral 248M V2.5 Instruct Orpo32K / 0.5 GB80
TinyMistral 248M V2 Instruct32K / 0.5 GB8247
...stral V2 Pycoder Instruct 248M32K / 1 GB153
...mistral 248M Hypnosis Instruct32K / 0.5 GB92
...istral Magicoder Instruct 248M32K / 0.5 GB222
Tinymistv132K / 0.5 GB00
Note: green Score (e.g. "73.2") means that the model is better than jtatman/tinymistral-v2-pycoder-instruct-248m-v1.

Rank the Tinymistral V2 Pycoder Instruct 248M V1 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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