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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

ARC: 65.96 vs 96.7 (so35)-31.8%
HellaSwag: 84.58 vs 95.3 (gpt4)-11.2%
MMLU: 73.95 vs 88.3 (so35)-16.3%
TruthfulQA: 56.82 vs 59 (gpt4)-3.7%
WinoGrande: 82.48 vs 87.5 (gpt4)-5.7%
GSM8K: 59.51 vs 96.4 (so35)-38.3%
LLME Score: 0.19644
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ChatAllInOne Yi 34B 200K V1 Parameters and Internals

LLM NameChatAllInOne Yi 34B 200K V1
Repository 🤗https://huggingface.co/DrNicefellow/ChatAllInOne-Yi-34B-200K-V1 
Model Size34b
Required VRAM69.2 GB
Updated2024-10-18
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
ChatAllInOne Yi 34B 200K V1 (DrNicefellow/ChatAllInOne-Yi-34B-200K-V1)

Quantized Models of the ChatAllInOne Yi 34B 200K V1

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VRAM
...atAllInOne Yi 34B 200K V1 GGUF030312 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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Release v2024072803
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