What are the hardware requirements for CNCF?

CNCF requires approximately 5.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CNCF and how large is it?

CNCF is developed by julioc-p, a model with 7b parameters. 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 CNCF?

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

CNCF by julioc-p — VRAM 5.3GB, 8K context

Name: CNCF
Author: julioc-p

CNCF is an open-source language model by julioc-p. Features: 7b LLM, VRAM: 5.3GB, Context: 8K, License: mit, Quantized, LLM Explorer Score: 0.13.

Base model:google/gemma-7b Base model:quantized:google/ge... Endpoints compatible Gemma Ggml Gguf Q4 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/julioc-p/CNCF

CNCF Parameters and Internals

LLM Name	CNCF
Repository 🤗	https://huggingface.co/julioc-p/CNCF
Base Model(s)	Gemma 7B google/gemma-7b
Model Size	7b
Required VRAM	5.3 GB
Updated	2026-07-09
Maintainer	julioc-p
Model Type	gemma
Model Files	5.3 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	gguf\|ggml\|q4\|q4_k
Model Architecture	GemmaForCausalLM
License	mit
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the CNCF 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 CNCF

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 7B Uawiki 1B	8K / 17.1 GB	24	0
DeepCNCFQuantized	8K / 5.3 GB	17	1
VolareQuantized	8K / 5.3 GB	226	1
VolareQuantized	8K / 5.3 GB	144	1
Gemma 7B It	8K / 17.1 GB	24944	1250
Gemma 7B	8K / 17.1 GB	29051	3388
Gemma 1.1 7B It GGUF	8K / 5.3 GB	52	1
Train06	8K / 9.1 GB	22	0
Llama2 Kazakh 7B GGUF	8K / 4.1 GB	10	0
Gemma 7B	8K / 17.1 GB	39	0

Note: green Score (e.g. "73.2") means that the model is better than julioc-p/CNCF.