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Jett W26 by giannisan

 »  All LLMs  »  giannisan  »  Jett W26   URL Share it on

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:finetune:inferencei... Base model:inferenceillusionis...   Codegen   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/giannisan/Jett-w26 

Jett W26 Benchmarks

LLME Score: 0.1547
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jett W26 (giannisan/Jett-w26)
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Jett W26 Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
This model is a result of merging multiple pre-trained language models using DARE TIES.
Supported Languages 
en (All proficiency levels)
LLM NameJett W26
Repository 🤗https://huggingface.co/giannisan/Jett-w26 
Base Model(s)  T3Q Mistral Orca Math DPO   WestLake 7B V2   The Trinity Coder 7B   Experiment26 7B   Excalibur 7B DPO   Jupiter K 7B Slerp   chihoonlee10/T3Q-Mistral-Orca-Math-DPO   senseable/WestLake-7B-v2   S-miguel/The-Trinity-Coder-7B   yam-peleg/Experiment26-7B   InferenceIllusionist/Excalibur-7b-DPO   Kukedlc/Jupiter-k-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-10-13
Maintainergiannisan
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Jett W26

Best Alternatives
Context / RAM
Downloads
Likes
SpydazWeb AI HumanAI RP512K / 14.4 GB171
SpydazWeb AI HumanAI 002512K / 14.4 GB181
Threebird 7B32K / 14.5 GB50
Mistral 7B Merged32K / 14.5 GB60
Jett W26 Abliterated32K / 14.4 GB31
Ultra Llm Merged32K / 14.5 GB60
RP Coder SM332K / 14.5 GB650
The Trinity Coder 7B32K / 14.4 GB566
MonarchCoder 7B32K / 14.4 GB61
...Mistral 7B Instruct V0.2 Slerp32K / 14.5 GB11
Note: green Score (e.g. "73.2") means that the model is better than giannisan/Jett-w26.

Rank the Jett W26 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 v20241124
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