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Yi 9B 200K GGUF by MaziyarPanahi

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Yi 9B 200K GGUF is an open-source language model by MaziyarPanahi. Features: 9b LLM, VRAM: 3.4GB, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2311.16502   Arxiv:2401.11944   Arxiv:2403.04652   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible   Base model:01-ai/yi-9b-200k Base model:quantized:01-ai/yi-...   Endpoints compatible   Gguf   Llama   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Yi-9B-200K-GGUF 

Yi 9B 200K GGUF Benchmarks

LLME Score: 0.12585
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 9B 200K GGUF (MaziyarPanahi/Yi-9B-200K-GGUF)
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Yi 9B 200K GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model includes GGUF format files for quantized versions and offers various quantization methods such as GGML_TYPE_Q2_K and GGML_TYPE_Q3_K.
LLM NameYi 9B 200K GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Yi-9B-200K-GGUF 
Model NameYi-9B-200K-GGUF
Model Creator01-ai
Base Model(s)  Yi 9B 200K   01-ai/Yi-9B-200K
Model Size9b
Required VRAM3.4 GB
Updated2026-01-28
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.8 GB   3.4 GB   4.7 GB   4.3 GB   3.9 GB   5.3 GB   5.1 GB   6.3 GB   6.1 GB   7.2 GB   9.4 GB   17.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Yi-9B-200K-GGUF.

Rank the Yi 9B 200K GGUF 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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