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ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 by DrNicefellow

 »  All LLMs  »  DrNicefellow  »  ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2 

ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 Benchmarks

LLME Score: 0.1473
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 Parameters and Internals

Additional Notes 
This model is a 6.0bpw quantized version of ChatAllInOne-Yi-34B-200K-V1 made with exllamav2.
Training Details 
Data Sources:
CHAT-ALL-IN-ONE-v1
Methodology:
QLoRA (Quantum Logic-based Reasoning Approach)
Input Output 
Input Format:
Vicuna 1.1
LLM NameChatAllInOne Yi 34B 200K V1.6.0bpw EXL2
Repository 🤗https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2 
Model Size34b
Required VRAM26.4 GB
Updated2025-06-11
MaintainerDrNicefellow
Model Typellama
Model Files  8.5 GB: 1-of-4   8.6 GB: 2-of-4   8.5 GB: 3-of-4   0.8 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
ChatAllInOne Yi 34B 200K V1.6.0bpw EXL2 (DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than DrNicefellow/ChatAllInOne-Yi-34B-200K-V1-6.0bpw-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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