ChatAllInOne Yi 34B 200K V1 by DrNicefellow

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  Autotrain compatible Dataset:drnicefellow/chat-all-...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

ChatAllInOne Yi 34B 200K V1 Benchmarks

ChatAllInOne Yi 34B 200K V1 (DrNicefellow/ChatAllInOne-Yi-34B-200K-V1)

ChatAllInOne Yi 34B 200K V1 Parameters and Internals

Model Type 
chat
Additional Notes 
Enhanced understanding and generation of conversational language. Improved performance in diverse chat scenarios. Fine-tuned to maintain context and coherence over longer dialogues.
Training Details 
Data Sources:
CHAT-ALL-IN-ONE-v1
Methodology:
Fine-tuning using QLoRA with unsloth tool
Input Output 
Input Format:
Vicuna 1.1
LLM NameChatAllInOne Yi 34B 200K V1
Repository ๐Ÿค—https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1 
Model Size34b
Required VRAM69.2 GB
Updated2025-02-22
MaintainerDrNicefellow
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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...atAllInOne Yi 34B 200K V1 GGUF05112 GB

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227