SG Raccoon Yi 200K 2.0 GPTQ by TheBloke

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SG Raccoon Yi 200K 2.0 GPTQ is an open-source language model by TheBloke. Features: 7.8b LLM, VRAM: 29.2GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible Base model:mlinmg/sg-raccoon-y... Base model:quantized:mlinmg/sg...   Conversational   Gptq   Llama   Quantized   Region:us   Safetensors

SG Raccoon Yi 200K 2.0 GPTQ Benchmarks

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 200K 2.0 GPTQ (TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ)
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SG Raccoon Yi 200K 2.0 GPTQ Parameters and Internals

Model Type 
yi, conversational
Supported Languages 
en (unknown)
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameSG Raccoon Yi 200K 2.0 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ 
Model NameSG Raccoon Yi 200K 2.0
Model CreatorMarco Lironi
Base Model(s)  mlinmg/SG-Raccoon-Yi-200k-2.0   mlinmg/SG-Raccoon-Yi-200k-2.0
Model Size7.8b
Required VRAM29.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  29.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ.

Rank the SG Raccoon Yi 200K 2.0 GPTQ 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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Release v20260328a