xiaojingyan_-_lora_model_r8_merged16-gguf

RichardErkhov/xiaojingyan_-_lora_model_r8_merged16-gguf

xiaojingyan_-_lora_model_r8_merged16-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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15.3 GB

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Hugging Face

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.gguf17.7 GB · 100%

At a glance

Access: Public
Created: Feb 14, 2025
Updated: Feb 14, 2025
SHA: c2a72d5d

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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lora_model_r8_merged16 - GGUF

Model creator: https://huggingface.co/xiaojingyan/
Original model: https://huggingface.co/xiaojingyan/lora_model_r8_merged16/

Name	Quant method	Size
lora_model_r8_merged16.Q2_K.gguf	Q2_K	0.54GB
lora_model_r8_merged16.IQ3_XS.gguf	IQ3_XS	0.58GB
lora_model_r8_merged16.IQ3_S.gguf	IQ3_S	0.6GB
lora_model_r8_merged16.Q3_K_S.gguf	Q3_K_S	0.6GB
lora_model_r8_merged16.IQ3_M.gguf	IQ3_M	0.61GB
lora_model_r8_merged16.Q3_K.gguf	Q3_K	0.64GB
lora_model_r8_merged16.Q3_K_M.gguf	Q3_K_M	0.64GB
lora_model_r8_merged16.Q3_K_L.gguf	Q3_K_L	0.68GB
lora_model_r8_merged16.IQ4_XS.gguf	IQ4_XS	0.7GB
lora_model_r8_merged16.Q4_0.gguf	Q4_0	0.72GB
lora_model_r8_merged16.IQ4_NL.gguf	IQ4_NL	0.72GB
lora_model_r8_merged16.Q4_K_S.gguf	Q4_K_S	0.72GB
lora_model_r8_merged16.Q4_K.gguf	Q4_K	0.75GB
lora_model_r8_merged16.Q4_K_M.gguf	Q4_K_M	0.75GB
lora_model_r8_merged16.Q4_1.gguf	Q4_1	0.77GB
lora_model_r8_merged16.Q5_0.gguf	Q5_0	0.83GB
lora_model_r8_merged16.Q5_K_S.gguf	Q5_K_S	0.83GB
lora_model_r8_merged16.Q5_K.gguf	Q5_K	0.85GB
lora_model_r8_merged16.Q5_K_M.gguf	Q5_K_M	0.85GB
lora_model_r8_merged16.Q5_1.gguf	Q5_1	0.89GB
lora_model_r8_merged16.Q6_K.gguf	Q6_K	0.95GB
lora_model_r8_merged16.Q8_0.gguf	Q8_0	1.23GB

Original model description:

base_model: unsloth/llama-3.2-1b-instruct-bnb-4bit tags:

text-generation-inference
transformers
unsloth
llama
trl
sft license: apache-2.0 language:
en

Uploaded model

Developed by: xiaojingyan
License: apache-2.0
Finetuned from model : unsloth/llama-3.2-1b-instruct-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Created: Feb 14, 2025
Updated: Feb 14, 2025