Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft by srikanthChittampally

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Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft is an open-source language model by srikanthChittampally. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Autotrain compatible   Codegen   Conversational   Endpoints compatible   Instruct   Llama-factory   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft (srikanthChittampally/Qwen2.5-Coder-1.5B-Instruct_lora_19453s-ft)
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Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft Parameters and Internals

LLM NameQwen2.5 Coder 1.5B Instruct Lora 19453s Ft
Repository ๐Ÿค—https://huggingface.co/srikanthChittampally/Qwen2.5-Coder-1.5B-Instruct_lora_19453s-ft 
Model Size1.5b
Required VRAM3.1 GB
Updated2024-10-22
MaintainersrikanthChittampally
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB: 1-of-2   1.1 GB: 2-of-2
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than srikanthChittampally/Qwen2.5-Coder-1.5B-Instruct_lora_19453s-ft.

Rank the Qwen2.5 Coder 1.5B Instruct Lora 19453s Ft 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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Release v20260328a