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Llama3 Chinese 8B Instruct Agent V1 by modelscope

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Llama3 Chinese 8B Instruct Agent V1 is an open-source language model by modelscope. Features: 8b LLM, VRAM: 30GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/modelscope/Llama3-Chinese-8B-Instruct-Agent-v1 

Llama3 Chinese 8B Instruct Agent V1 Benchmarks

LLME Score: 0.13188
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Chinese 8B Instruct Agent V1 (modelscope/Llama3-Chinese-8B-Instruct-Agent-v1)
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Llama3 Chinese 8B Instruct Agent V1 Parameters and Internals

Model Type 
text-generation
Supported Languages 
Chinese (Full proficiency), English (Limited proficiency)
Training Details 
Data Sources:
https://modelscope.cn/datasets/AI-ModelScope/COIG-CQIA/summary, https://modelscope.cn/datasets/AI-ModelScope/ms-agent-for-agentfabric/summary, https://modelscope.cn/datasets/AI-ModelScope/alpaca-gpt4-data-en/summary, https://modelscope.cn/datasets/iic/ms_bench/summary
Methodology:
LoRA-based fine-tuning with Chinese and agent-specific data.
Context Length:
2048
LLM NameLlama3 Chinese 8B Instruct Agent V1
Repository 🤗https://huggingface.co/modelscope/Llama3-Chinese-8B-Instruct-Agent-v1 
Model Size8b
Required VRAM30 GB
Updated2026-03-29
Maintainermodelscope
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   4.2 GB: 6-of-7   1.1 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than modelscope/Llama3-Chinese-8B-Instruct-Agent-v1.

Rank the Llama3 Chinese 8B Instruct Agent V1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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