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LinearWriter 12B by yamatazen

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LinearWriter 12B is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 23.8GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2203.05482 Base model:elizezen/himeyuri-v... Base model:natong19/mistral-ne... Base model:nbeerbower/mistral-... Base model:shisa-ai/shisa-v2-m...   Conversational   En   Endpoints compatible   Instruct   Ja   Linear   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/LinearWriter-12B 

LinearWriter 12B Benchmarks

LLME Score: 0.1938
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LinearWriter 12B (yamatazen/LinearWriter-12B)
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LinearWriter 12B Parameters and Internals

LLM NameLinearWriter 12B
Repository 🤗https://huggingface.co/yamatazen/LinearWriter-12B 
Base Model(s)  Shisa V2 Mistral Nemo 12B   Mistral Nemo Gutenberg 12B V4   ...Nemo Instruct 2407 Abliterated   Elizezen/Himeyuri-v0.1-12B   shisa-ai/shisa-v2-mistral-nemo-12b   nbeerbower/mistral-nemo-gutenberg-12B-v4   natong19/Mistral-Nemo-Instruct-2407-abliterated   Elizezen/Himeyuri-v0.1-12B
Merged ModelYes
Model Size12b
Required VRAM23.8 GB
Updated2026-05-01
Maintaineryamatazen
Model Typemistral
Instruction-BasedYes
Model Files  1.3 GB: 1-of-25   1.3 GB: 2-of-25   1.0 GB: 3-of-25   0.9 GB: 4-of-25   0.9 GB: 5-of-25   0.9 GB: 6-of-25   1.0 GB: 7-of-25   0.9 GB: 8-of-25   0.9 GB: 9-of-25   0.9 GB: 10-of-25   1.0 GB: 11-of-25   0.9 GB: 12-of-25   0.9 GB: 13-of-25   0.9 GB: 14-of-25   1.0 GB: 15-of-25   0.9 GB: 16-of-25   0.9 GB: 17-of-25   0.9 GB: 18-of-25   1.0 GB: 19-of-25   0.9 GB: 20-of-25   0.9 GB: 21-of-25   0.9 GB: 22-of-25   1.0 GB: 23-of-25   0.9 GB: 24-of-25   0.8 GB: 25-of-25
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Mistral Nemo Wissenschaft 12B1000K / 24.5 GB928
Note: green Score (e.g. "73.2") means that the model is better than yamatazen/LinearWriter-12B.

Rank the LinearWriter 12B 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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