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Tinymistral 248M Hypnosis Instruct by jtatman

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

  Arxiv:1910.09700   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/jtatman/tinymistral-248m-hypnosis-instruct 

Tinymistral 248M Hypnosis Instruct Benchmarks

LLME Score: 0.11128
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinymistral 248M Hypnosis Instruct (jtatman/tinymistral-248m-hypnosis-instruct)
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Tinymistral 248M Hypnosis Instruct Parameters and Internals

LLM NameTinymistral 248M Hypnosis Instruct
Repository 🤗https://huggingface.co/jtatman/tinymistral-248m-hypnosis-instruct 
Model Size248m
Required VRAM0.5 GB
Updated2026-04-24
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 Size32005
Torch Data Typefloat16

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...istral 248M V2.5 Instruct Orpo32K / 0.5 GB80
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Tinymistv132K / 0.5 GB00
Note: green Score (e.g. "73.2") means that the model is better than jtatman/tinymistral-248m-hypnosis-instruct.

Rank the Tinymistral 248M Hypnosis Instruct 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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