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AutoCoder QW 7B by Bin12345

 »  All LLMs  »  Bin12345  »  AutoCoder QW 7B   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Bin12345/AutoCoder_QW_7B 

AutoCoder QW 7B Benchmarks

LLME Score: 0.19683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AutoCoder QW 7B (Bin12345/AutoCoder_QW_7B)

AutoCoder QW 7B Parameters and Internals

Model Type 
code generation
Additional Notes 
The code interpreter function can be tried through the AutoCoder GitHub, and there is an example script for simple code generation without code interpreter ability.
Release Notes 
Version:
current
Notes:
In this version, we fixed the problem that the model will only start the code interpreter when you ask it to verify its code.
LLM NameAutoCoder QW 7B
Repository 🤗https://huggingface.co/Bin12345/AutoCoder_QW_7B 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerBin12345
Model Typeqwen2
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typefloat16

Best Alternatives to AutoCoder QW 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB289038236
Qwen2.5 7B MixStock V0.1986K / 15.2 GB6823
Qwen2.5 7B RRP 1M986K / 15.2 GB2944
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB1535
Qwen 2.5 7B Exp Sce986K / 15.2 GB282
COCO 7B Instruct 1M986K / 15.2 GB1059
SJT 7B V1.1986K / 14.8 GB1521
Q2.5 Instruct 1M Harmony986K / 15.2 GB611
Impish QWEN 7B 1M986K / 15.2 GB701
Qwen 2.5 7B Deep Stock V5986K / 15.2 GB302
Note: green Score (e.g. "73.2") means that the model is better than Bin12345/AutoCoder_QW_7B.

Rank the AutoCoder QW 7B 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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Release v20241227
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