Q Qwen2.5 Coder 7B Merged 16bit by davidbzyk

 ยป  All LLMs  ยป  davidbzyk  ยป  Q Qwen2.5 Coder 7B Merged 16bit   URL Share it on

  Merged Model   4bit   Autotrain compatible   Codegen   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Q Qwen2.5 Coder 7B Merged 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q Qwen2.5 Coder 7B Merged 16bit (davidbzyk/Q-Qwen2.5-Coder-7B-merged_16bit)

Q Qwen2.5 Coder 7B Merged 16bit Parameters and Internals

LLM NameQ Qwen2.5 Coder 7B Merged 16bit
Repository ๐Ÿค—https://huggingface.co/davidbzyk/Q-Qwen2.5-Coder-7B-merged_16bit 
Base Model(s)  unsloth/qwen2.5-coder-7b-bnb-4bit   unsloth/qwen2.5-coder-7b-bnb-4bit
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2024-11-06
Maintainerdavidbzyk
Model Typeqwen2
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 Version4.46.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Q Qwen2.5 Coder 7B Merged 16bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 Coder 7B Instruct 4bit32K / 4.3 GB875352
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB83234
Qwen2.5 Coder 7B Bnb 4bit32K / 5.5 GB22154
FastApply 7B V1.032K / 15.2 GB43015
...en2.5.1 Coder 7B Instruct 8bit32K / 8.1 GB632
...en2.5.1 Coder 7B Instruct 4bit32K / 4.3 GB522
...Apply V0.2 Qwen2.5 Coder 7B Ft32K / 15.2 GB940
...Apply V0.2 Qwen2.5 Coder 7B Ft32K / 15.2 GB140
Qwen2.5 7B CySecButler V0.1128K / 15.2 GB472
StockQwen 2.5 7B128K / 15.2 GB972
Note: green Score (e.g. "73.2") means that the model is better than davidbzyk/Q-Qwen2.5-Coder-7B-merged_16bit.

Rank the Q Qwen2.5 Coder 7B Merged 16bit Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 40066 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217