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Agent FLAN 7B by internlm

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Agent FLAN 7B is an open-source language model by internlm. Features: 7b LLM, VRAM: 13.5GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.13.

  Arxiv:2403.12881   Agent   Custom code   Dataset:internlm/agent-flan   Internlm   Pytorch   Region:us   Sharded   Tool
Model Card on HF 🤗: https://huggingface.co/internlm/Agent-FLAN-7b 

Agent FLAN 7B Benchmarks

LLME Score: 0.13029
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Agent FLAN 7B (internlm/Agent-FLAN-7b)
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Agent FLAN 7B Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
AgentInstruct, ToolBench, ShareGPT
Methodology:
Fine-tuning with Agent-FLAN data generation pipeline to improve agent capabilities and tool utilization, alleviating hallucination issues.
Input Output 
Input Format:
Llama2-chat template format
LLM NameAgent FLAN 7B
Repository 🤗https://huggingface.co/internlm/Agent-FLAN-7b 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-26
Maintainerinternlm
Model Typeinternlm
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureInternLMForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.34.0
Is Biased0
Tokenizer ClassInternLMTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Context / RAM
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CFGPT1 Pt 7B2K / 14.8 GB112
Internlm 7B2K / 14.6 GB140996
Firefly Internlm 7B2K / 14.7 GB103
Internlm Chat 7B W42K / 5.1 GB2233
Internlm Chat 7B 4bit Gptq2K / 5.1 GB64
...m Chat 7B 4bit Gptq Safetensor2K / 8.2 GB83
Note: green Score (e.g. "73.2") means that the model is better than internlm/Agent-FLAN-7b.

Rank the Agent FLAN 7B 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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