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Jenna V3 Qwn2 1.5 4bit by V3N0M

 »  All LLMs  »  V3N0M  »  Jenna V3 Qwn2 1.5 4bit   URL Share it on

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/q... Base model:unsloth/qwen2-1.5b-...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/V3N0M/Jenna-v3-Qwn2-1.5-4bit 

Jenna V3 Qwn2 1.5 4bit Benchmarks

LLME Score: 0.17708
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Jenna V3 Qwn2 1.5 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, trl, sft
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en ()
LLM NameJenna V3 Qwn2 1.5 4bit
Repository 🤗https://huggingface.co/V3N0M/Jenna-v3-Qwn2-1.5-4bit 
Base Model(s)  unsloth/Qwen2-1.5B-Instruct-bnb-4bit   unsloth/Qwen2-1.5B-Instruct-bnb-4bit
Model Size1.5b
Required VRAM1.1 GB
Updated2025-06-09
MaintainerV3N0M
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Jenna V3 Qwn2 1.5 4bit (V3N0M/Jenna-v3-Qwn2-1.5-4bit)

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...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB219654
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Qwen2.5 1.5B Instruct 4bit32K / 0.9 GB33761
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Note: green Score (e.g. "73.2") means that the model is better than V3N0M/Jenna-v3-Qwn2-1.5-4bit.

Rank the Jenna V3 Qwn2 1.5 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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