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Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge by AswanthCManoj

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Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge is an open-source language model by AswanthCManoj. Features: 1.3b LLM, VRAM: 2.7GB, Context: 16K, Instruction-Based, Code Generating, LLM Explorer Score: 0.11.

  Autotrain compatible   Codegen   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AswanthCManoj/azma-deepseek-coder-1.3b-instruct-structured-output-peft-merge 

Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge Benchmarks

LLME Score: 0.11266
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge (AswanthCManoj/azma-deepseek-coder-1.3b-instruct-structured-output-peft-merge)
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Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge Parameters and Internals

LLM NameAzma Deepseek Coder 1.3B Instruct Structured Output Peft Merge
Repository 🤗https://huggingface.co/AswanthCManoj/azma-deepseek-coder-1.3b-instruct-structured-output-peft-merge 
Model Size1.3b
Required VRAM2.7 GB
Updated2025-09-23
MaintainerAswanthCManoj
Model Typellama
Instruction-BasedYes
Model Files  2.7 GB
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Tokenstic
Vocabulary Size32256
Torch Data Typefloat16

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...epseek Coder 1.3B Instruct AWQ8K / 0.9 GB1385
...Coder 1.3B Function Calling V116K / 2.7 GB9462
Note: green Score (e.g. "73.2") means that the model is better than AswanthCManoj/azma-deepseek-coder-1.3b-instruct-structured-output-peft-merge.

Rank the Azma Deepseek Coder 1.3B Instruct Structured Output Peft Merge 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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