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Chimera 7B 4bit 128g by CyberTimon

 »  All LLMs  »  CyberTimon  »  Chimera 7B 4bit 128g   URL Share it on

  6   
  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/CyberTimon/chimera-7b-4bit-128g 

Chimera 7B 4bit 128g Benchmarks

LLME Score: 0.0807
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chimera 7B 4bit 128g (CyberTimon/chimera-7b-4bit-128g)
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Chimera 7B 4bit 128g Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text-generation applications
Applications:
chatbots, content creation, creative writing
Additional Notes 
This is a quantized version using 4 bits for use with oobabooga's text-generation-webui.
Training Details 
Methodology:
Quantization using gpt-q branch of oobabooga
Model Architecture:
LLM with 4bit quantization using groupsize 128
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Optimal performance when using with oobabooga's text-generation-webui.
LLM NameChimera 7B 4bit 128g
Repository 🤗https://huggingface.co/CyberTimon/chimera-7b-4bit-128g 
Model Size7b
Required VRAM4 GB
Updated2025-09-23
MaintainerCyberTimon
Model Typellama
Model Files  4.0 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CyberTimon/chimera-7b-4bit-128g.

Rank the Chimera 7B 4bit 128g 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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