Test 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/test 

Test Benchmarks

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

Test Parameters and Internals

Model Type 
trl, sft, generated_from_trainer
Additional Notes 
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. More information is needed for model description, intended uses, limitations, and training and evaluation data.
Training Details 
Data Sources:
generator
LLM NameTest
Repository 🤗https://huggingface.co/stojchet/test 
Base Model(s)  deepseek-ai/deepseek-coder-1.3b-base   deepseek-ai/deepseek-coder-1.3b-base
Model Size1.3b
Required VRAM0.1 GB
Updated2024-11-11
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 Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param64

Best Alternatives to Test

Best Alternatives
Context / RAM
Downloads
Likes
Deepseek 1.3b Instruct Adapter0K / 0.3 GB50
...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
... Sft 10K Good R64 A16 D0.05 E30K / 0.1 GB50
Python Sft Markdown0K / 0.1 GB50
Python Sft0K / 0.1 GB60
Hyperparam Rust Sft Lora0K / 0.1 GB141
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/test.

Rank the Test Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227