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SvelteCodeQwen1.5 7B Chat by Dreamslol

 »  All LLMs  »  Dreamslol  »  SvelteCodeQwen1.5 7B Chat   URL Share it on

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  Autotrain compatible Base model:quantized:qwen/code... Base model:qwen/codeqwen1.5-7b...   Conversational   En   Endpoints compatible   Gguf   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Dreamslol/SvelteCodeQwen1.5-7B-Chat 

SvelteCodeQwen1.5 7B Chat Benchmarks

LLME Score: 0.16548
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SvelteCodeQwen1.5 7B Chat (Dreamslol/SvelteCodeQwen1.5-7B-Chat)
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SvelteCodeQwen1.5 7B Chat Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl, sft
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameSvelteCodeQwen1.5 7B Chat
Repository 🤗https://huggingface.co/Dreamslol/SvelteCodeQwen1.5-7B-Chat 
Base Model(s)  Qwen/CodeQwen1.5-7B-Chat   Qwen/CodeQwen1.5-7B-Chat
Model Size7b
Required VRAM14.5 GB
Updated2024-11-12
MaintainerDreamslol
Model Typeqwen2
Model Files  4.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Dreamslol/SvelteCodeQwen1.5-7B-Chat.

Rank the SvelteCodeQwen1.5 7B Chat 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
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