What are the hardware requirements for Lora Model?

Lora Model requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lora Model and how large is it?

Lora Model is developed by huggingfacepremium. 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 Lora Model?

Lora Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lora Model by huggingfacepremium — VRAM 0.1GB

Name: Lora Model
Author: huggingfacepremium

Lora Model is an open-source language model by huggingfacepremium. Features: LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4bit Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... En Endpoints compatible Instruct Lora Mistral Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/huggingfacepremium/lora_model

Lora Model Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

LLM Name	Lora Model
Repository 🤗	https://huggingface.co/huggingfacepremium/lora_model
Base Model(s)	unsloth/phi-3-mini-4k-instruct-bnb-4bit unsloth/phi-3-mini-4k-instruct-bnb-4bit
Required VRAM	0.1 GB
Updated	2024-07-30
Maintainer	huggingfacepremium
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|up_proj\|v_proj\|down_proj\|o_proj\|gate_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Lora Model capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Lora Model

Best Alternatives	Context / RAM	Downloads	Likes
Phi 3.1 EvolKit Lora	0K / 0.1 GB	0	1
Phi3 Telecom	0K / 0.1 GB	0	1
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
...l 8x7B Instruct V0.1 Llamafile	0K / GB	7076	18
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75

Note: green Score (e.g. "73.2") means that the model is better than huggingfacepremium/lora_model.