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Iq Code Evmind Qwen 2.5 7B Instruct V0.2410.0 by braindao

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Iq Code Evmind Qwen 2.5 7B Instruct V0.2410.0 Benchmarks

LLME Score: 0.26641
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Iq Code Evmind Qwen 2.5 7B Instruct V0.2410.0 Parameters and Internals

LLM NameIq Code Evmind Qwen 2.5 7B Instruct V0.2410.0
Repository 🤗https://huggingface.co/braindao/iq-code-evmind-qwen-2.5-7b-instruct-v0.2410.0 
Base Model(s)  unsloth/qwen2.5-7b-instruct-bnb-4bit   unsloth/qwen2.5-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
Maintainerbraindao
Model Typeqwen2
Instruction-BasedYes
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 Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Iq Code Evmind Qwen 2.5 7B Instruct V0.2410.0 (braindao/iq-code-evmind-qwen-2.5-7b-instruct-v0.2410.0)

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Note: green Score (e.g. "73.2") means that the model is better than braindao/iq-code-evmind-qwen-2.5-7b-instruct-v0.2410.0.

Rank the Iq Code Evmind Qwen 2.5 7B Instruct V0.2410.0 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  
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Release v20241110
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