MaziyarPanahi_-_Calme-7B-Instruct-v0.2-gguf

RichardErkhov/MaziyarPanahi_-_Calme-7B-Instruct-v0.2-gguf

MaziyarPanahi_-_Calme-7B-Instruct-v0.2-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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.gguf95.2 GB · 100%

At a glance

Access: Public
Created: Sep 13, 2024
Updated: Sep 13, 2024
SHA: ffe63bf2

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Calme-7B-Instruct-v0.2 - GGUF

Model creator: https://huggingface.co/MaziyarPanahi/
Original model: https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.2/

Name	Quant method	Size
Calme-7B-Instruct-v0.2.Q2_K.gguf	Q2_K	2.53GB
Calme-7B-Instruct-v0.2.IQ3_XS.gguf	IQ3_XS	2.81GB
Calme-7B-Instruct-v0.2.IQ3_S.gguf	IQ3_S	2.96GB
Calme-7B-Instruct-v0.2.Q3_K_S.gguf	Q3_K_S	2.95GB
Calme-7B-Instruct-v0.2.IQ3_M.gguf	IQ3_M	3.06GB
Calme-7B-Instruct-v0.2.Q3_K.gguf	Q3_K	3.28GB
Calme-7B-Instruct-v0.2.Q3_K_M.gguf	Q3_K_M	3.28GB
Calme-7B-Instruct-v0.2.Q3_K_L.gguf	Q3_K_L	3.56GB
Calme-7B-Instruct-v0.2.IQ4_XS.gguf	IQ4_XS	3.67GB
Calme-7B-Instruct-v0.2.Q4_0.gguf	Q4_0	3.83GB
Calme-7B-Instruct-v0.2.IQ4_NL.gguf	IQ4_NL	3.87GB
Calme-7B-Instruct-v0.2.Q4_K_S.gguf	Q4_K_S	3.86GB
Calme-7B-Instruct-v0.2.Q4_K.gguf	Q4_K	4.07GB
Calme-7B-Instruct-v0.2.Q4_K_M.gguf	Q4_K_M	4.07GB
Calme-7B-Instruct-v0.2.Q4_1.gguf	Q4_1	4.24GB
Calme-7B-Instruct-v0.2.Q5_0.gguf	Q5_0	4.65GB
Calme-7B-Instruct-v0.2.Q5_K_S.gguf	Q5_K_S	4.65GB
Calme-7B-Instruct-v0.2.Q5_K.gguf	Q5_K	4.78GB
Calme-7B-Instruct-v0.2.Q5_K_M.gguf	Q5_K_M	4.78GB
Calme-7B-Instruct-v0.2.Q5_1.gguf	Q5_1	5.07GB
Calme-7B-Instruct-v0.2.Q6_K.gguf	Q6_K	5.53GB
Calme-7B-Instruct-v0.2.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

generated_from_trainer
mistral
7b
calme model-index:
name: Calme-7B-Instruct-v0.2 results: [] model_name: Calme-7B-Instruct-v0.2 inference: false model_creator: MaziyarPanahi pipeline_tag: text-generation quantized_by: MaziyarPanahi

MaziyarPanahi/Calme-7B-Instruct-v0.2

Model Description

Calme-7B is a state-of-the-art language model with 7 billion parameters, fine-tuned over high-quality datasets on top of Mistral-7B. The Calme-7B models excel in generating text that resonates with clarity, calmness, and coherence.

How to Use

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="MaziyarPanahi/Calme-7B-Instruct-v0.2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.2")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.2")

Quantized Models

I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!

GGUF (2/3/4/5/6/8 bits): MaziyarPanahi/Calme-7B-Instruct-v0.2-GGUF