Post
92
GREAT
free user now can't even create gradio demo
free user now can't even create gradio demo
- 2 replies
AI & ML interests
None defined yet.
R-Kentaren
posted an update 5 days ago
R-Kentaren
posted an update 12 days ago
Post
190
kinda ridiculous making "cpu-basic" paid and "ZeroGPU" is free but 2 spaces for free user.
i'm confused dawg
i'm confused dawg
- 1 reply
ehristoforu
posted an update 11 months ago
Post
2704
🚀Hello from the Project Fluently team!
✨ We are happy to share with you our new universal LLM models based on Qwen3 1.7B and 4B — powerful, multilingual and ready to solve a wide range of problems!
🛠️ We have conducted additional training and carefully merged them to achieve even better results and maximize the potential of the models.
🆓 And most importantly — the models are completely open and free under the Apache-2.0 license!
🔗 Links to repositories:
- FluentlyQwen3-4B: fluently/FluentlyQwen3-4B
- FluentlyQwen3-1.7B: fluently/FluentlyQwen3-1.7B
😍 We will be very glad to hear your feedback and impressions! Your opinion is very important to us!
✨ We are happy to share with you our new universal LLM models based on Qwen3 1.7B and 4B — powerful, multilingual and ready to solve a wide range of problems!
🛠️ We have conducted additional training and carefully merged them to achieve even better results and maximize the potential of the models.
🆓 And most importantly — the models are completely open and free under the Apache-2.0 license!
🔗 Links to repositories:
- FluentlyQwen3-4B: fluently/FluentlyQwen3-4B
- FluentlyQwen3-1.7B: fluently/FluentlyQwen3-1.7B
😍 We will be very glad to hear your feedback and impressions! Your opinion is very important to us!
ehristoforu
posted an update over 1 year ago
Post
4490
Introducing our first standalone model – FluentlyLM Prinum
Introducing the first standalone model from Project Fluently LM! We worked on it for several months, used different approaches and eventually found the optimal one.
General characteristics:
- Model type: Causal language models (QwenForCausalLM, LM Transformer)
- Number of parameters: 32.5B
- Number of parameters (not embedded): 31.0B
- Number of layers: 64
- Context: 131,072 tokens
- Language(s) (NLP): English, French, Spanish, Russian, Chinese, Japanese, Persian (officially supported)
- License: MIT
Creation strategy:
The basis of the strategy is shown in Pic. 2.
We used Axolotl & Unsloth for SFT-finetuning with PEFT LoRA (rank=64, alpha=64) and Mergekit for SLERP and TIES mergers.
Evolution:
🏆 12th place in the Open LLM Leaderboard ( open-llm-leaderboard/open_llm_leaderboard) (21.02.2025)
Detailed results and comparisons are presented in Pic. 3.
Links:
- Model: https://huggingface.co/fluently-lm/FluentlyLM-Prinum
- GGUF version: mradermacher/FluentlyLM-Prinum-GGUF
- Demo on ZeroGPU: ehristoforu/FluentlyLM-Prinum-demo
Introducing the first standalone model from Project Fluently LM! We worked on it for several months, used different approaches and eventually found the optimal one.
General characteristics:
- Model type: Causal language models (QwenForCausalLM, LM Transformer)
- Number of parameters: 32.5B
- Number of parameters (not embedded): 31.0B
- Number of layers: 64
- Context: 131,072 tokens
- Language(s) (NLP): English, French, Spanish, Russian, Chinese, Japanese, Persian (officially supported)
- License: MIT
Creation strategy:
The basis of the strategy is shown in Pic. 2.
We used Axolotl & Unsloth for SFT-finetuning with PEFT LoRA (rank=64, alpha=64) and Mergekit for SLERP and TIES mergers.
Evolution:
🏆 12th place in the Open LLM Leaderboard ( open-llm-leaderboard/open_llm_leaderboard) (21.02.2025)
Detailed results and comparisons are presented in Pic. 3.
Links:
- Model: https://huggingface.co/fluently-lm/FluentlyLM-Prinum
- GGUF version: mradermacher/FluentlyLM-Prinum-GGUF
- Demo on ZeroGPU: ehristoforu/FluentlyLM-Prinum-demo
- 7 replies
ehristoforu
posted an update over 1 year ago
Post
4682
✒️ Ultraset - all-in-one dataset for SFT training in Alpaca format.
fluently-sets/ultraset
❓ Ultraset is a comprehensive dataset for training Large Language Models (LLMs) using the SFT (instruction-based Fine-Tuning) method. This dataset consists of over 785 thousand entries in eight languages, including English, Russian, French, Italian, Spanish, German, Chinese, and Korean.
🤯 Ultraset solves the problem faced by users when selecting an appropriate dataset for LLM training. It combines various types of data required to enhance the model's skills in areas such as text writing and editing, mathematics, coding, biology, medicine, finance, and multilingualism.
🤗 For effective use of the dataset, it is recommended to utilize only the "instruction," "input," and "output" columns and train the model for 1-3 epochs. The dataset does not include DPO or Instruct data, making it suitable for training various types of LLM models.
❇️ Ultraset is an excellent tool to improve your language model's skills in diverse knowledge areas.
fluently-sets/ultraset
❓ Ultraset is a comprehensive dataset for training Large Language Models (LLMs) using the SFT (instruction-based Fine-Tuning) method. This dataset consists of over 785 thousand entries in eight languages, including English, Russian, French, Italian, Spanish, German, Chinese, and Korean.
🤯 Ultraset solves the problem faced by users when selecting an appropriate dataset for LLM training. It combines various types of data required to enhance the model's skills in areas such as text writing and editing, mathematics, coding, biology, medicine, finance, and multilingualism.
🤗 For effective use of the dataset, it is recommended to utilize only the "instruction," "input," and "output" columns and train the model for 1-3 epochs. The dataset does not include DPO or Instruct data, making it suitable for training various types of LLM models.
❇️ Ultraset is an excellent tool to improve your language model's skills in diverse knowledge areas.
ehristoforu
posted an update about 2 years ago
Post
4607
😏 Hello from Project Fluently Team!
✨ Finally we can give you some details about Supple Diffusion. We worked on it for a long time and we have little left, we apologize that we had to increase the work time.
🛠️ Some technical information. The first version will be the Small version (there will also be Medium, Large, Huge, possibly Tiny), it will be based on the SD1 architecture, that is, one text encoder, U-net, VAE. Now about each component, the first is a text encoder, it will be a CLIP model (perhaps not CLIP-L-path14), CLIP was specially retrained by us in order to achieve the universality of the model in understanding completely different styles and to simplify the prompt as much as possible. Next, we did U-net, U-net in a rather complicated way, first we trained different parts (types) of data with different U-nets, then we carried out merging using different methods, then we trained DPO and SPO using methods, and then we looked at the remaining shortcomings and further trained model, details will come later. We left VAE the same as in SD1 architecture.
🙌 Compatibility. Another goal of the Supple model series is full compatibility with Auto1111 and ComfyUI already at the release stage, the model is fully supported by these interfaces and the diffusers library and does not require adaptation, your usual Sampling methods are also compatible, such as DPM++ 2M Karras, DPM++ SDE and others.
🧐 Today, without demo images (there wasn’t much time), final work is underway on the model and we are already preparing to develop the Medium version, the release of the Small version will most likely be in mid-August or earlier.
😻 Feel free to ask your questions in the comments below the post, we will be happy to answer them, have a nice day!
✨ Finally we can give you some details about Supple Diffusion. We worked on it for a long time and we have little left, we apologize that we had to increase the work time.
🛠️ Some technical information. The first version will be the Small version (there will also be Medium, Large, Huge, possibly Tiny), it will be based on the SD1 architecture, that is, one text encoder, U-net, VAE. Now about each component, the first is a text encoder, it will be a CLIP model (perhaps not CLIP-L-path14), CLIP was specially retrained by us in order to achieve the universality of the model in understanding completely different styles and to simplify the prompt as much as possible. Next, we did U-net, U-net in a rather complicated way, first we trained different parts (types) of data with different U-nets, then we carried out merging using different methods, then we trained DPO and SPO using methods, and then we looked at the remaining shortcomings and further trained model, details will come later. We left VAE the same as in SD1 architecture.
🙌 Compatibility. Another goal of the Supple model series is full compatibility with Auto1111 and ComfyUI already at the release stage, the model is fully supported by these interfaces and the diffusers library and does not require adaptation, your usual Sampling methods are also compatible, such as DPM++ 2M Karras, DPM++ SDE and others.
🧐 Today, without demo images (there wasn’t much time), final work is underway on the model and we are already preparing to develop the Medium version, the release of the Small version will most likely be in mid-August or earlier.
😻 Feel free to ask your questions in the comments below the post, we will be happy to answer them, have a nice day!
- 1 reply
ehristoforu
posted an update about 2 years ago
Post
6420
🤗 Hello from the Project Fluently team!
🥏 We are ready to announce a new series of Supple Diffusion models, these are new generation diffusion models (about 1-2 weeks left before release).
🦾 The new series aims to take diffusion models to the next level, with performance and versatility as the main goal.
🧐 How will our models be better than others? Firstly, we worked on the CLIP models, now they understand your requests better, it will become easier to process. Secondly, we trained the models with high quality, even better than all our previous ones. Thirdly, you won’t have to keep 20 models on your disk; only 4-6 will be enough.
🗺️ Roadmap:
1. Create Supple Diffusion Small
2. Creating Supple Diffusion Medium
3. Create Supple Diffusion Large
🎆 Our models are universal for realism, and for cartoons, and for anime, and for caricatures.
💖 The project really needs your support and your recommendations and reviews, please do not hesitate to write comments under this post, thank you!
🖼️ Below are demo images made with the pre-release version of Supple Diffusion Small.
🥏 We are ready to announce a new series of Supple Diffusion models, these are new generation diffusion models (about 1-2 weeks left before release).
🦾 The new series aims to take diffusion models to the next level, with performance and versatility as the main goal.
🧐 How will our models be better than others? Firstly, we worked on the CLIP models, now they understand your requests better, it will become easier to process. Secondly, we trained the models with high quality, even better than all our previous ones. Thirdly, you won’t have to keep 20 models on your disk; only 4-6 will be enough.
🗺️ Roadmap:
1. Create Supple Diffusion Small
2. Creating Supple Diffusion Medium
3. Create Supple Diffusion Large
🎆 Our models are universal for realism, and for cartoons, and for anime, and for caricatures.
💖 The project really needs your support and your recommendations and reviews, please do not hesitate to write comments under this post, thank you!
🖼️ Below are demo images made with the pre-release version of Supple Diffusion Small.
- 4 replies
ehristoforu
posted an update about 2 years ago
Post
3916
🦾 Hello, I present Visionix Alpha - a new hyper-realistic model based on SDXL. The main difference from all existing realism models is the attention to detail, that is, I improved not only hyperrealism, but also the overall aesthetics, anatomy, the beauty of nature, and more, and the model also has the most different faces. This model is suitable not only for realistic photos, but also for generating 2.5d anime, realistic cartoons and more.
🤗 Model on HF: ehristoforu/Visionix-alpha
🥏 Model on CivitAI: https://civitai.com/models/505719
🪄 Playground (with base and inpaint model): ehristoforu/Visionix-Playground
✏️ Inpaint version on HF: ehristoforu/Visionix-alpha-inpainting
🖋️ Inpaint version on CivitAI: https://civitai.com/models/505719?modelVersionId=563519
🤗 Model on HF: ehristoforu/Visionix-alpha
🥏 Model on CivitAI: https://civitai.com/models/505719
🪄 Playground (with base and inpaint model): ehristoforu/Visionix-Playground
✏️ Inpaint version on HF: ehristoforu/Visionix-alpha-inpainting
🖋️ Inpaint version on CivitAI: https://civitai.com/models/505719?modelVersionId=563519
- 1 reply
ehristoforu
posted an update about 2 years ago
Post
3140
🤗 Hello, I have great news! FluentlyXL Final is finally here, the final release of the FluentlyXL model series. We've improved the overall aesthetics, lighting, and more.
🦾 Model on HF: fluently/Fluently-XL-Final
🥏 Model on CivitAI: https://civitai.com/models/324891
🎆 Playground: fluently/Fluently-Playground
🦾 Model on HF: fluently/Fluently-XL-Final
🥏 Model on CivitAI: https://civitai.com/models/324891
🎆 Playground: fluently/Fluently-Playground
- 4 replies
ehristoforu
posted an update about 2 years ago
Post
1946
I decided to play around with FluentlyXL v4 😉
👉 Model: fluently/Fluently-XL-v4
✨ Playground: fluently/Fluently-Playground
👉 Model: fluently/Fluently-XL-v4
✨ Playground: fluently/Fluently-Playground
ehristoforu
posted an update about 2 years ago
Post
1578
🙂 Hello! FluentlyXL is now on Venice.ai, you can try the model there right now.
👉 Venice.ai: https://venice.ai
✨️ FluentlyXL v4: fluently/Fluently-XL-v4
👉 Venice.ai: https://venice.ai
✨️ FluentlyXL v4: fluently/Fluently-XL-v4
- 3 replies
ehristoforu
posted an update about 2 years ago
Post
1843
Fluently XL v4 took 4th place in the arena leaderboard imgsys.org, yay!
Model: fluently/Fluently-XL-v4
Playground with this model: fluently/Fluently-Playground
Model: fluently/Fluently-XL-v4
Playground with this model: fluently/Fluently-Playground
- 10 replies
ehristoforu
posted an update about 2 years ago
Post
2156
😐 Hello, there are a couple of interesting things. The first is that I will soon release several pretty cool SDXL models, the second is a little sad, I conducted long-term tests of training and merging of XL models and realized that XL will not improve soon, the architecture will not allow us to continue pushing realism and other interesting things into it, the entire community has brought XL closer to the maximum ideal on its architecture.
ehristoforu
posted an update about 2 years ago
Post
2981
🤗 SDXL Flash
✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.
🚀 Features of mini model:
It weighs less, consumes less video memory and other resources, and the quality has not dropped much.
👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.
SDXL Flash: sd-community/sdxl-flash
SDXL Flash Mini: sd-community/sdxl-flash-mini
✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.
🚀 Features of mini model:
It weighs less, consumes less video memory and other resources, and the quality has not dropped much.
👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.
SDXL Flash: sd-community/sdxl-flash
SDXL Flash Mini: sd-community/sdxl-flash-mini
- 3 replies
ehristoforu
posted an update over 2 years ago
Post
4205
🪽 New FluentlyXL V4!
🤗 Finally the model came out, it turned out great, we worked on contrast, realism and anatomy.
👨💻 Model page: fluently/Fluently-XL-v4
🦾 You can try it here: fluently/Fluently-Playground
🤗 Finally the model came out, it turned out great, we worked on contrast, realism and anatomy.
👨💻 Model page: fluently/Fluently-XL-v4
🦾 You can try it here: fluently/Fluently-Playground
- 2 replies
ehristoforu
updated 3
Spaces over 2 years ago