Marx 3B V2 by acrastt

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  Autotrain compatible Dataset:totally-not-an-llm/eve...   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/acrastt/Marx-3B-V2 

Marx 3B V2 Benchmarks

Marx 3B V2 (acrastt/Marx-3B-V2)
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Marx 3B V2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is available in two quantization formats: GGML and GGUF.
Training Details 
Data Sources:
EverythingLM Data V2 (ShareGPT format)
Training Time:
2 epochs
Input Output 
Input Format:
Prompt in Human-Response Template
Accepted Modalities:
text
Output Format:
Generated text
LLM NameMarx 3B V2
Repository ๐Ÿค—https://huggingface.co/acrastt/Marx-3B-V2 
Model Size3b
Required VRAM6.8 GB
Updated2025-09-29
Maintaineracrastt
Model Typellama
Model Files  6.8 GB   6.8 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than acrastt/Marx-3B-V2.

Rank the Marx 3B V2 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