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Python Sft Markdown by stojchet

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  Adapter Base model:adapter:deepseek-ai... Base model:deepseek-ai/deepsee...   Codegen   Dataset:generator   Finetuned   Generated from trainer   Lora   Peft   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/stojchet/python-sft-markdown 

Python Sft Markdown Benchmarks

LLME Score: 0.15664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Python Sft Markdown (stojchet/python-sft-markdown)
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Python Sft Markdown Parameters and Internals

Training Details 
Data Sources:
generator
Methodology:
Fine-tuning
LLM NamePython Sft Markdown
Repository 🤗https://huggingface.co/stojchet/python-sft-markdown 
Base Model(s)  deepseek-ai/deepseek-coder-1.3b-base   deepseek-ai/deepseek-coder-1.3b-base
Model Size1.3b
Required VRAM0.1 GB
Updated2025-09-23
Maintainerstojchet
Model Files  0.1 GB   0.0 GB
Generates CodeYes
Model ArchitectureAdapter
Licenseother
Model Max Length16384
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha16
LoRA Dropout0.05
R Param64

Best Alternatives to Python Sft Markdown

Best Alternatives
Context / RAM
Downloads
Likes
Deepseek 1.3b Instruct Adapter0K / 0.3 GB50
... Sft 10K Good R64 A16 D0.05 E30K / 0.1 GB110
...t 10K Good 1e R64 A16 D0.05 E10K / 0.1 GB60
...on Sft 10K 1e R64 A16 D0.05 E10K / 0.1 GB50
...ython Sft 50K R64 A16 D0.05 E10K / 0.1 GB50
Python Sft0K / 0.1 GB50
Test0K / 0.1 GB50
Hyperparam Rust Sft Lora0K / 0.1 GB71
Python Sft R64 A16 D0.050K / 0.1 GB00
Python Sft R64 A16 D0.10K / 0.1 GB00
Note: green Score (e.g. "73.2") means that the model is better than stojchet/python-sft-markdown.

Rank the Python Sft Markdown 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  
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Release v20241124
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