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FastApply 7B V1.0 by Kortix

By Kortix · 66 downloads

FastApply 7B V1.0 is an open-source language model by Kortix. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.15.

  4bit   Codegen   Conversational   Deploy:azure   En   Endpoints compatible   Fast-apply   Instant-apply   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

FastApply 7B V1.0 Parameters and Internals

LLM NameFastApply 7B V1.0
Repository πŸ€—https://huggingface.co/Kortix/FastApply-7B-v1.0 
Base Model(s)  unsloth/qwen2.5-coder-7b-instruct-bnb-4bit   unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2026-07-09
MaintainerKortix
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
Generates CodeYes
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

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Note: green Score (e.g. "73.2") means that the model is better than Kortix/FastApply-7B-v1.0.