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FastApply 1.5B V1.0 by Kortix

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  4bit   Autotrain compatible   Codegen   Conversational   En   Endpoints compatible   Fast-apply   Instant-apply   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Kortix/FastApply-1.5B-v1.0 

FastApply 1.5B V1.0 Benchmarks

LLME Score: 0.29361
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FastApply 1.5B V1.0 (Kortix/FastApply-1.5B-v1.0)

FastApply 1.5B V1.0 Parameters and Internals

LLM NameFastApply 1.5B V1.0
Repository 🤗https://huggingface.co/Kortix/FastApply-1.5B-v1.0 
Base Model(s)  unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit   unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-05
MaintainerKortix
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Autotrain Lcsbp Cl4gy32K / 5.7 GB1310
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Note: green Score (e.g. "73.2") means that the model is better than Kortix/FastApply-1.5B-v1.0.

Rank the FastApply 1.5B V1.0 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  
Code Generation  
Multi-Language Support and Translation  

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