Tinymistral 950M by cckm

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Tinymistral 950M is an open-source language model by cckm. Features: 950m LLM, VRAM: 1.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.18.

Base model:cckm/tinymistral 95... Base model:finetune:cckm/tinym...   Dataset:huggingfacefw/fineweb Dataset:tiiuae/falcon-refinedw...   En   Mistral   Pytorch   Region:us   Safetensors

Tinymistral 950m Benchmarks

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

Tinymistral 950M Parameters and Internals

LLM NameTinymistral 950m
Repository 🤗https://huggingface.co/cckm/tinymistral_950m 
Base Model(s)  Tinymistral 950m   cckm/tinymistral_950m
Model Size950m
Required VRAM1.9 GB
Updated2026-04-30
Maintainercckm
Model Typemistral
Model Files  1.9 GB   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32009
Torch Data Typebfloat16

Rank the Tinymistral 950M 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 v20260328a