A1 V002 by ashercn97

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/ashercn97/a1-v002 

A1 V002 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
A1 V002 (ashercn97/a1-v002)
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A1 V002 Parameters and Internals

LLM NameA1 V002
Repository ๐Ÿค—https://huggingface.co/ashercn97/a1-v002 
Base Model(s)  unsloth/qwen2.5-7b-bnb-4bit   unsloth/qwen2.5-7b-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-07-24
Maintainerashercn97
Model Typeqwen2
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to A1 V002

Best Alternatives
Context / RAM
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Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB10709
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB8412
Qwen2.5 7B Instruct 1M 8bit986K / 8.1 GB633
Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB202
...still Qwen 7B Unsloth Bnb 4bit128K / 8.5 GB1709023
Mini Pathfinder128K / 15.2 GB160
Gte Qwen2 7B Instruct 4bit DWQ128K / 4.3 GB6773
A1 V0.0.1128K / 15.2 GB70
CogitoDistil128K / 15.2 GB140
...5 7B Instruct SFT Meme LoRA V7128K / 15.2 GB210
Note: green Score (e.g. "73.2") means that the model is better than ashercn97/a1-v002.

Rank the A1 V002 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