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chanwit_-_flux-7b-v0.2-gguf
RichardErkhov/chanwit_-_flux-7b-v0.2-gguf
chanwit_-_flux-7b-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
- Jul 24, 2024
- Updated
- Jul 25, 2024
- SHA
- 167623b0
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
flux-7b-v0.2 - GGUF
- Model creator: https://huggingface.co/chanwit/
- Original model: https://huggingface.co/chanwit/flux-7b-v0.2/
| Name | Quant method | Size |
|---|---|---|
| flux-7b-v0.2.Q2_K.gguf | Q2_K | 2.53GB |
| flux-7b-v0.2.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| flux-7b-v0.2.IQ3_S.gguf | IQ3_S | 2.96GB |
| flux-7b-v0.2.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| flux-7b-v0.2.IQ3_M.gguf | IQ3_M | 3.06GB |
| flux-7b-v0.2.Q3_K.gguf | Q3_K | 3.28GB |
| flux-7b-v0.2.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| flux-7b-v0.2.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| flux-7b-v0.2.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| flux-7b-v0.2.Q4_0.gguf | Q4_0 | 3.83GB |
| flux-7b-v0.2.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| flux-7b-v0.2.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| flux-7b-v0.2.Q4_K.gguf | Q4_K | 4.07GB |
| flux-7b-v0.2.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| flux-7b-v0.2.Q4_1.gguf | Q4_1 | 4.24GB |
| flux-7b-v0.2.Q5_0.gguf | Q5_0 | 4.65GB |
| flux-7b-v0.2.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| flux-7b-v0.2.Q5_K.gguf | Q5_K | 4.78GB |
| flux-7b-v0.2.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| flux-7b-v0.2.Q5_1.gguf | Q5_1 | 5.07GB |
| flux-7b-v0.2.Q6_K.gguf | Q6_K | 5.53GB |
| flux-7b-v0.2.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
license: apache-2.0 language:
- en
Open Flux AI
Open Flux AI - Empowering developers with AI-driven Continuous Delivery solutions.
Welcome to Open Flux AI, a community initiative stemming from the Kube-7B project, dedicated to advancing AI expertise in Flux, Flagger, and Continuous Delivery technologies. Our mission is to use the power of AI to simplify and enhance the way developers interact with Flux and technologies around it.
Our first focus is on fine-tuning AI models to specialize in key areas such as Flux, Flagger, GitOps, and SOPS. By leveraging the raw data from Kube-7B and applying targeted Embedding techniques, we aim to create models that are highly proficient in these specific domains.
Our first major deliverable is flux-7b, a model based on Mistral 7B. flux-7b currently understands the basic knowledge of Flux, Flagger, GitOps, and SOPS.
flux-7b has demonstrated to be better than ChatGPT in these contexts. See the screenshot.
Getting Started
To begin using flux-7b, follow this simple command:
ollama run chanwit/flux-7b
The GGUF files of this model can be obtained from HuggingFace.
We are planning to delivery our models in other formats like Llamafiles and Docker Containers. Please stay tuned.
Models
flux-7b: Our first model, built on Mistral 7B, is designed to provide assistance in Flux, Flagger, GitOps, and SOPS.
Datasets
At the beginning, the Open Flux AI project shares its foundational dataset with the Kube-7B project but refines it to focus on specific areas. We continuously work on expanding our dataset, especially in areas like Flux commands and Custom Resources, to further enhance the model's capabilities.
Contributions
We welcome and greatly appreciate contributions, especially in the form of question and answer pairs. We are seeking contributions for new datasets centered around knowledge of Flux commands and CR generations.
- Created
- Jul 24, 2024
- Updated
- Jul 25, 2024