Qwen2 Coder Reflct Adamw Iter10 by yiran-wang3

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Qwen2 Coder Reflct Adamw Iter10 is an open-source language model by yiran-wang3. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.16.

  Alignment-handbook   Autotrain compatible Base model:finetune:yiran-wang... Base model:yiran-wang3/qwen2 c...   Codegen   Conversational Dataset:self-generate/qwcoder2...   Dpo   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Trl

Qwen2 Coder Reflct Adamw Iter10 Benchmarks

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

Qwen2 Coder Reflct Adamw Iter10 Parameters and Internals

LLM NameQwen2 Coder Reflct Adamw Iter10
Repository 🤗https://huggingface.co/yiran-wang3/qwen2_coder_reflct_adamw_iter10 
Base Model(s)  Qwen2 Coder Reflct Adamw Iter9   yiran-wang3/qwen2_coder_reflct_adamw_iter9
Model Size1.5b
Required VRAM3.1 GB
Updated2024-12-05
Maintaineryiran-wang3
Model Typeqwen2
Model Files  3.1 GB   0.0 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Arch Agent 1.5B32K / 3.1 GB459
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Arch Function Chat 1.5B32K / 3.1 GB1510
Note: green Score (e.g. "73.2") means that the model is better than yiran-wang3/qwen2_coder_reflct_adamw_iter10.

Rank the Qwen2 Coder Reflct Adamw Iter10 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