Yi 1.5 9B Chat Ov Int8 by fakezeta

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  Arxiv:2403.04652   Autotrain compatible   Conversational   Endpoints compatible   Llama   Openvino   Region:us

Yi 1.5 9B Chat Ov Int8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 1.5 9B Chat Ov Int8 (fakezeta/Yi-1.5-9B-Chat-ov-int8)

Yi 1.5 9B Chat Ov Int8 Parameters and Internals

Model Type 
Causal Language Model, Chat Model
Use Cases 
Areas:
Research, Commercial Applications
Limitations:
Limited to the pre-trained context and fine-tuned data.
Additional Notes 
The model delivers strong performance in coding, math, reasoning, and instruction-following.
Training Details 
Data Sources:
High-quality corpus
Data Volume:
3.6T tokens
Methodology:
Pre-training and fine-tuning
Context Length:
8192
Model Architecture:
OVModelForCausalLM
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Textual responses
Performance Tips:
Ensure high-quality input data; optimize hardware resources.
LLM NameYi 1.5 9B Chat Ov Int8
Repository ๐Ÿค—https://huggingface.co/fakezeta/Yi-1.5-9B-Chat-ov-int8 
Model Size9b
Required VRAM0 GB
Updated2024-12-14
Maintainerfakezeta
Model Typellama
Model Files  0.0 GB   8.8 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000

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Note: green Score (e.g. "73.2") means that the model is better than fakezeta/Yi-1.5-9B-Chat-ov-int8.

Rank the Yi 1.5 9B Chat Ov Int8 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