Autotrain 6lxuh Noau7 by bobleer

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Autotrain 6lxuh Noau7 is an open-source language model by bobleer. Features: 1.5b LLM, VRAM: 6.2GB, Context: 32K, License: other, Code Generating, LLM Explorer Score: 0.17.

  Autotrain   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

Autotrain 6lxuh Noau7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Autotrain 6lxuh Noau7 Parameters and Internals

LLM NameAutotrain 6lxuh Noau7
Repository 🤗https://huggingface.co/bobleer/autotrain-6lxuh-noau7 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B   Qwen/Qwen2.5-Coder-1.5B
Model Size1.5b
Required VRAM6.2 GB
Updated2025-09-23
Maintainerbobleer
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   0.0 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat32
Errorsreplace

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Context / RAM
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Replete Coder Qwen2 1.5B128K / 3.1 GB23323
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Microcoder 1.5B32K / 3.1 GB115
...n2.5 Coder Draft 1.5B Instruct32K / 3.1 GB360
Zeta 1.5B Sft32K / 3.1 GB60
ProseFlow V1.1.5B Instruct32K / 3.1 GB41
Arch Agent 1.5B32K / 3.1 GB459
Qwenftmodel32K / 6.2 GB100
Arch Function Chat 1.5B32K / 3.1 GB1510
Note: green Score (e.g. "73.2") means that the model is better than bobleer/autotrain-6lxuh-noau7.

Rank the Autotrain 6lxuh Noau7 Capabilities

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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 v20260328a