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FastApply 7B V1.0 by Kortix

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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: 0.16.

  4bit   Codegen   Conversational   Deploy:azure   En   Endpoints compatible   Fast-apply   Instant-apply   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Kortix/FastApply-7B-v1.0 

FastApply 7B V1.0 Benchmarks

LLME Score: 0.1603
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FastApply 7B V1.0 (Kortix/FastApply-7B-v1.0)
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FastApply 7B V1.0 Parameters and Internals

LLM NameFastApply 7B V1.0
Repository 🤗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
Updated2026-05-26
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

Best Alternatives to FastApply 7B V1.0

Best Alternatives
Context / RAM
Downloads
Likes
Securereview 7B Mlx 4bit32K / 4.3 GB1504
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB18173612
Qwen2.5 CoderX 7B V0.732K / 15.2 GB22
Qwen2.5 CoderX 7B V0.532K / 15.2 GB42
Qwen2.5 Coder 7B Instruct 4bit32K / 4.3 GB813614
Sft Model32K / 15.2 GB70
UIGEN 7B 16bit32K / 15.2 GB45
...en2.5.1 Coder 7B Instruct 4bit32K / 4.3 GB8225
...en2.5.1 Coder 7B Instruct 8bit32K / 8.1 GB2933
Qwen2.5 7B Rebase986K / 15.2 GB732
Note: green Score (e.g. "73.2") means that the model is better than Kortix/FastApply-7B-v1.0.

Rank the FastApply 7B V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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