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Jenna V3 Qwn2 1.5 4bit by V3N0M

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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

Jenna V3 Qwn2 1.5 4bit Benchmarks

LLME Score: 0.22997
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Jenna V3 Qwn2 1.5 4bit Parameters and Internals

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
Updated2024-09-07
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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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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Release v2024072803
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