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Qwen3 Codellm by tygertathagat

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Qwen3 Codellm is an open-source language model by tygertathagat. Features: 14b LLM, VRAM: 29.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/tygertathagat/Qwen3-codellm 

Qwen3 Codellm Benchmarks

LLME Score: 0.19379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Codellm (tygertathagat/Qwen3-codellm)
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Qwen3 Codellm Parameters and Internals

LLM NameQwen3 Codellm
Repository 🤗https://huggingface.co/tygertathagat/Qwen3-codellm 
Base Model(s)  unsloth/qwen3-14b-unsloth-bnb-4bit   unsloth/qwen3-14b-unsloth-bnb-4bit
Model Size14b
Required VRAM29.5 GB
Updated2025-07-17
Maintainertygertathagat
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.53.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 Codellm

Best Alternatives
Context / RAM
Downloads
Likes
Prototie Ai40K / 29.5 GB3850
Qwen3 14B Unsloth Bnb 4bit40K / 11.2 GB19401715
Qwen3 14B MLX 4bit40K / 8.3 GB476785
Qwen3 14B Bnb 4bit40K / 9.9 GB118645
Hermes 4 14B 4bit40K / 8.3 GB10294
Hermes 4 14B 8bit40K / 15.7 GB2462
Qwen3 14B MLX 4bit40K / 7.9 GB163213
...wen3 14B Non Thinking V6 16bit40K / 29.5 GB180
Merged16 Sft Qwen340K / 29.5 GB50
Qwen3 14B MLX 8bit40K / 15.2 GB6595
Note: green Score (e.g. "73.2") means that the model is better than tygertathagat/Qwen3-codellm.

Rank the Qwen3 Codellm 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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