Who developed Phi 1 5 Finetuned Code and how large is it?

Phi 1 5 Finetuned Code is developed by gnsepili. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Phi 1 5 Finetuned Code?

Phi 1 5 Finetuned Code is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 1 5 Finetuned Code by gnsepili

Name: Phi 1 5 Finetuned Code
Author: gnsepili

Phi 1 5 Finetuned Code is an open-source language model by gnsepili. Features: LLM, License: mit, Fine-Tuned, Code Generating, LLM Explorer Score: 0.1.

Adapter Base model:finetune:microsoft/... Base model:microsoft/phi-1 5 Code Codegen Dataset:mlabonne/codellama-2-2... En Finetuned Generated from trainer Lora Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/gnsepili/phi-1_5-finetuned-code

Phi 1 5 Finetuned Code Parameters and Internals

LLM Name	Phi 1 5 Finetuned Code
Repository 🤗	https://huggingface.co/gnsepili/phi-1_5-finetuned-code
Base Model(s)	Phi 1 5 microsoft/phi-1_5
Required VRAM	0 GB
Updated	2026-06-29
Maintainer	gnsepili
Model Files	0.0 GB 0.0 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Adapter
License	mit
Model Max Length	2048
Is Biased	none
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	out_proj\|Wqkv
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the Phi 1 5 Finetuned Code 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

Best Alternatives to Phi 1 5 Finetuned Code

Best Alternatives	Context / RAM	Downloads	Likes
Phi3.5 Kaveri Coder Lora	0K / GB	12	1
CodeLlama Toolformer Qlora	0K / 0.6 GB	0	1
Alpaca7b Python Assistant	0K / 0 GB	0	2
Codium Bd Coder V2 Lora	0K / 8.4 GB	1157	1

Note: green Score (e.g. "73.2") means that the model is better than gnsepili/phi-1_5-finetuned-code.