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Test Model by lesserfield

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  Autotrain compatible Base model:finetune:trollek/qw... Base model:trollek/qwen2-1.5b-...   Conversational   En   Endpoints compatible   Instruct   Pytorch   Qwen2   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/lesserfield/test-model 

Test Model Benchmarks

LLME Score: 0.17688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Model (lesserfield/test-model)

Test Model Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This Qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTest Model
Repository 🤗https://huggingface.co/lesserfield/test-model 
Base Model(s)  trollek/Qwen2-1.5B-Instruct-Abliterated   trollek/Qwen2-1.5B-Instruct-Abliterated
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-01
Maintainerlesserfield
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16

Best Alternatives to Test Model

Best Alternatives
Context / RAM
Downloads
Likes
AceInstruct 1.5B128K / 3.5 GB582620
Gte Qwen2 1.5B Instruct128K / 7.1 GB173568218
...illed Scout 1.5B Instruct Gen1128K / 3.5 GB440
... Abliterated TIES Qwen2.5 1.5B128K / 3.5 GB210
Saba1 1.8B128K / 3.6 GB661
Bellatrix 1.5B XElite128K / 3.5 GB243
Miniclaus Qw1.5B UNAMGS128K / 3.5 GB258
WiroAI Finance Qwen 1.5B128K / 3.5 GB34419
...pmath Competitive 1.5B Preview128K / 7.1 GB160
Horologium QwenC 1.5B128K / 7.1 GB180
Note: green Score (e.g. "73.2") means that the model is better than lesserfield/test-model.

Rank the Test Model 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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