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Yi Coder 9B Chat Instruct TIES MoE V1.0 by BenevolenceMessiah

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Yi Coder 9B Chat Instruct TIES MoE V1.0 is an open-source language model by BenevolenceMessiah. Features: 28.3b LLM, VRAM: 56.8GB, Context: 128K, License: apache-2.0, MoE, Instruction-Based, Code Generating, LLM Explorer Score: 0.2.

  Arxiv:2306.01708   Arxiv:2403.04652 Base model:benevolencemessiah/... Base model:finetune:benevolenc...   Codegen   Endpoints compatible   Instruct   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0 

Yi Coder 9B Chat Instruct TIES MoE V1.0 Benchmarks

MMLU Pro: 18.67
GPQA: 1.68
MUSR: 8.93
BBH: 26.88
IFEval: 30.12 vs 88 (so35)-65.8%
MATH Lvl 5: 4.15
LLME Score: 0.19808
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi Coder 9B Chat Instruct TIES MoE V1.0 (BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0)
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Yi Coder 9B Chat Instruct TIES MoE V1.0 Parameters and Internals

LLM NameYi Coder 9B Chat Instruct TIES MoE V1.0
Repository 🤗https://huggingface.co/BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES-MoE-v1.0 
Base Model(s)  Yi Coder 9B Chat Instruct TIES   BenevolenceMessiah/Yi-Coder-9B-Chat-Instruct-TIES
Model Size28.3b
Required VRAM56.8 GB
Updated2026-03-30
MaintainerBenevolenceMessiah
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-12   5.0 GB: 2-of-12   5.0 GB: 3-of-12   5.0 GB: 4-of-12   5.0 GB: 5-of-12   5.0 GB: 6-of-12   5.0 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   5.0 GB: 10-of-12   5.0 GB: 11-of-12   1.8 GB: 12-of-12
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|startoftext|>
Vocabulary Size64000
Torch Data Typebfloat16

Rank the Yi Coder 9B Chat Instruct TIES MoE V1.0 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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