Hammer2.1 7B by MadeAgents

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Hammer2.1 7B is an open-source language model by MadeAgents. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: cc-by-nc-4.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

  Arxiv:2410.04587 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen Dataset:madeagents/xlam-irrele... Dataset:salesforce/xlam-functi...   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Hammer2.1 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Hammer2.1 7B Parameters and Internals

LLM NameHammer2.1 7B
Repository 🤗https://huggingface.co/MadeAgents/Hammer2.1-7b 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-05-31
MaintainerMadeAgents
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.47.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Likes
Qwen2.5 7B Rebase986K / 15.2 GB732
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Tessa T1 7B117K / 15.2 GB810
UIGEN T1.5 7B117K / 15.2 GB86
Qwen2.5 Coder 7B Instruct32K / 15.2 GB2343223712
...7B Kernelbook Sft Equal Tokens32K / 15.2 GB1042
Qwen2.5 7B MS Destroyer32K / 15.2 GB41
AstraGPTCoder 7B32K / 15.2 GB3421
Note: green Score (e.g. "73.2") means that the model is better than MadeAgents/Hammer2.1-7b.

Rank the Hammer2.1 7B 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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Release v20260328a