LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Faro Yi 9B by wenbopan

 »  All LLMs  »  wenbopan  »  Faro Yi 9B   URL Share it on

  10041   
  Merged Model   Arxiv:2303.08774   Autotrain compatible   Conversational   Dataset:wenbopan/fusang-v1 Dataset:wenbopan/openorca-zh-2...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/wenbopan/Faro-Yi-9B 

Faro Yi 9B Benchmarks

ARC: 61.26 vs 96.7 (so35)-36.6%
HellaSwag: 76.95 vs 95.3 (gpt4)-19.3%
MMLU: 70.77 vs 88.3 (so35)-19.9%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 76.09 vs 87.5 (gpt4)-13%
GSM8K: 63 vs 96.4 (so35)-34.6%
LLME Score: 0.21083
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Faro Yi 9B (wenbopan/Faro-Yi-9B)
🌟 Advertise your project 🚀

Faro Yi 9B Parameters and Internals

Model Type 
chat, long-context modeling
Use Cases 
Areas:
practical applications, long-context modeling
Supported Languages 
english (high), chinese (high)
Input Output 
Input Format:
chatml template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
For longer inputs under 24GB of VRAM, it is recommended to use vLLM to have a max prompt of 32K. Setting kv_cache_dtype="fp8_e5m2" allows for 48K input length. 4bit-AWQ quantization on top of that can boost input length to 160K.
LLM NameFaro Yi 9B
Repository 🤗https://huggingface.co/wenbopan/Faro-Yi-9B 
Merged ModelYes
Model Size9b
Required VRAM17.7 GB
Updated2025-07-31
Maintainerwenbopan
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Best Alternatives to Faro Yi 9B

Best Alternatives
Context / RAM
Downloads
Likes
Xgen Small 9B Instruct R256K / 42.5 GB20376
Yi 9B 200K256K / 17.7 GB1236675
SekhmetX 9B V0.1 Test256K / 21.2 GB712
SekmetX 9B V0.1 Test256K / 21.2 GB692
Xgen Small 9B Base R256K / 42.5 GB2902
Austral Xgen 9B Winton256K / 21.3 GB102
Mike Hawk 9B256K / 21.3 GB63
...rce Xgen Small 9B Rebased V0.1256K / 42.5 GB170
...rce Xgen Small 9B Rebased V0.1256K / 42.5 GB140
BigYi 15.75B 200K256K / 30.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than wenbopan/Faro-Yi-9B.

Rank the Faro Yi 9B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 50263 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer