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SG Raccoon Yi 55B 200K 2.0 by mlinmg

 »  All LLMs  »  mlinmg  »  SG Raccoon Yi 55B 200K 2.0   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlinmg/SG-Raccoon-Yi-55B-200k-2.0 

SG Raccoon Yi 55B 200K 2.0 Benchmarks

LLME Score: 0.14893
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SG Raccoon Yi 55B 200K 2.0 (mlinmg/SG-Raccoon-Yi-55B-200k-2.0)

SG Raccoon Yi 55B 200K 2.0 Parameters and Internals

Model Type 
text-generation, auto-regressive
Additional Notes 
Tips and additional performance measures are provided in the detailed results.
Supported Languages 
en (unknown)
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Try disabling the BOS token or running a lower temperature with MinP if output doesn't seem right. Add ~~ as an additional stopping condition for stop tokens.
LLM NameSG Raccoon Yi 55B 200K 2.0
Repository 🤗https://huggingface.co/mlinmg/SG-Raccoon-Yi-55B-200k-2.0 
Model Size55b
Required VRAM111.3 GB
Updated2025-02-22
Maintainermlinmg
Model Typellama
Model Files  9.9 GB: 1-of-12   10.0 GB: 2-of-12   9.7 GB: 3-of-12   9.8 GB: 4-of-12   9.8 GB: 5-of-12   9.8 GB: 6-of-12   9.8 GB: 7-of-12   9.8 GB: 8-of-12   9.8 GB: 9-of-12   9.8 GB: 10-of-12   10.0 GB: 11-of-12   3.1 GB: 12-of-12
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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SG Raccoon Yi 55B AWQ4K / 30.2 GB112
Note: green Score (e.g. "73.2") means that the model is better than mlinmg/SG-Raccoon-Yi-55B-200k-2.0.

Rank the SG Raccoon Yi 55B 200K 2.0 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  

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Release v20241227
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