PlatYi 34B 200K Q FastChat by kyujinpy

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  Autotrain compatible Dataset:garage-baind/open-plat...   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded

PlatYi 34B 200K Q FastChat Benchmarks

PlatYi 34B 200K Q FastChat (kyujinpy/PlatYi-34B-200k-Q-FastChat)
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PlatYi 34B 200K Q FastChat Parameters and Internals

Model Type 
text generation, auto-regressive
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Used QLoRA with lora_r value of 64
Model Architecture:
Yi-34B transformer architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NamePlatYi 34B 200K Q FastChat
Repository ๐Ÿค—https://huggingface.co/kyujinpy/PlatYi-34B-200k-Q-FastChat 
Model Size34b
Required VRAM68.9 GB
Updated2025-02-22
Maintainerkyujinpy
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length200000
Model Max Length200000
Transformers Version4.34.0
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 kyujinpy/PlatYi-34B-200k-Q-FastChat.

Rank the PlatYi 34B 200K Q FastChat 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