ClaudioItaly_-_intelligence-cod-rag-7b-v3-gguf

RichardErkhov/ClaudioItaly_-_intelligence-cod-rag-7b-v3-gguf

ClaudioItaly_-_intelligence-cod-rag-7b-v3-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.

Downloads · 30 days

108

4% of all-time downloads

All-time downloads

Public

Repo size

88.2 GB

Likes

Public

Hugging Face

Repo makeup

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.gguf102 GB · 100%

At a glance

Access: Public
Created: Apr 26, 2025
Updated: Apr 26, 2025
SHA: 45916120

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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intelligence-cod-rag-7b-v3 - GGUF

Model creator: https://huggingface.co/ClaudioItaly/
Original model: https://huggingface.co/ClaudioItaly/intelligence-cod-rag-7b-v3/

Name	Quant method	Size
intelligence-cod-rag-7b-v3.Q2_K.gguf	Q2_K	2.81GB
intelligence-cod-rag-7b-v3.IQ3_XS.gguf	IQ3_XS	3.12GB
intelligence-cod-rag-7b-v3.IQ3_S.gguf	IQ3_S	3.26GB
intelligence-cod-rag-7b-v3.Q3_K_S.gguf	Q3_K_S	3.25GB
intelligence-cod-rag-7b-v3.IQ3_M.gguf	IQ3_M	3.33GB
intelligence-cod-rag-7b-v3.Q3_K.gguf	Q3_K	3.55GB
intelligence-cod-rag-7b-v3.Q3_K_M.gguf	Q3_K_M	3.55GB
intelligence-cod-rag-7b-v3.Q3_K_L.gguf	Q3_K_L	3.81GB
intelligence-cod-rag-7b-v3.IQ4_XS.gguf	IQ4_XS	3.96GB
intelligence-cod-rag-7b-v3.Q4_0.gguf	Q4_0	4.13GB
intelligence-cod-rag-7b-v3.IQ4_NL.gguf	IQ4_NL	4.16GB
intelligence-cod-rag-7b-v3.Q4_K_S.gguf	Q4_K_S	4.15GB
intelligence-cod-rag-7b-v3.Q4_K.gguf	Q4_K	4.36GB
intelligence-cod-rag-7b-v3.Q4_K_M.gguf	Q4_K_M	4.36GB
intelligence-cod-rag-7b-v3.Q4_1.gguf	Q4_1	4.54GB
intelligence-cod-rag-7b-v3.Q5_0.gguf	Q5_0	4.95GB
intelligence-cod-rag-7b-v3.Q5_K_S.gguf	Q5_K_S	4.95GB
intelligence-cod-rag-7b-v3.Q5_K.gguf	Q5_K	5.07GB
intelligence-cod-rag-7b-v3.Q5_K_M.gguf	Q5_K_M	5.07GB
intelligence-cod-rag-7b-v3.Q5_1.gguf	Q5_1	5.36GB
intelligence-cod-rag-7b-v3.Q6_K.gguf	Q6_K	5.82GB
intelligence-cod-rag-7b-v3.Q8_0.gguf	Q8_0	7.54GB

Original model description:

base_model:

AIDC-AI/Marco-o1
happzy2633/qwen2.5-7b-ins-v3 library_name: transformers tags:
mergekit
merge license: mit

merge

my elaboration and fusion of the models has led to a surprising result that I want to share with you all. I recommend you try this merge of mine.

Demonstrates strong reasoning skills when asked questions or texts. It is useful for reasoning to formulate questions with this example "Question: How did the Moon arise in your opinion?

GGUF ClaudioItaly/intelligence-cod-rag-7b-v3-Q6_K-GGUF GUUF ClaudioItaly/intelligence-cod-rag-7b-v3-Q8_0-GGUF

Created: Apr 26, 2025
Updated: Apr 26, 2025