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AM Thinking V1 by a-m-team

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AM Thinking V1 is an open-source language model by a-m-team. Features: 32.8b LLM, VRAM: 65.7GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.22.

  Arxiv:2505.08311   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/a-m-team/AM-Thinking-v1 

AM Thinking V1 Benchmarks

LLME Score: 0.2191
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AM Thinking V1 (a-m-team/AM-Thinking-v1)
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AM Thinking V1 Parameters and Internals

LLM NameAM Thinking V1
Repository 🤗https://huggingface.co/a-m-team/AM-Thinking-v1 
Model Size32.8b
Required VRAM65.7 GB
Updated2026-05-13
Maintainera-m-team
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.7 GB: 9-of-14   4.9 GB: 10-of-14   5.0 GB: 11-of-14   4.9 GB: 12-of-14   4.8 GB: 13-of-14   2.4 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...py Roleplay 1739875661 071160332K / 65.8 GB540
...ppy Roleplay 1739875662 17287632K / 65.8 GB50
Note: green Score (e.g. "73.2") means that the model is better than a-m-team/AM-Thinking-v1.

Rank the AM Thinking 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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