Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 27 additions & 0 deletions gallery/index.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -3295,7 +3295,7 @@
- gemma3
- gemma-3
overrides:
#mmproj: gemma-3-27b-it-mmproj-f16.gguf

Check warning on line 3298 in gallery/index.yaml

View workflow job for this annotation

GitHub Actions / Yamllint

3298:6 [comments] missing starting space in comment
parameters:
model: gemma-3-27b-it-Q4_K_M.gguf
files:
Expand All @@ -3313,7 +3313,7 @@
description: |
google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
overrides:
#mmproj: gemma-3-12b-it-mmproj-f16.gguf

Check warning on line 3316 in gallery/index.yaml

View workflow job for this annotation

GitHub Actions / Yamllint

3316:6 [comments] missing starting space in comment
parameters:
model: gemma-3-12b-it-Q4_K_M.gguf
files:
Expand All @@ -3331,7 +3331,7 @@
description: |
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
overrides:
#mmproj: gemma-3-4b-it-mmproj-f16.gguf

Check warning on line 3334 in gallery/index.yaml

View workflow job for this annotation

GitHub Actions / Yamllint

3334:6 [comments] missing starting space in comment
parameters:
model: gemma-3-4b-it-Q4_K_M.gguf
files:
Expand Down Expand Up @@ -6949,7 +6949,7 @@
sha256: 2756551de7d8ff7093c2c5eec1cd00f1868bc128433af53f5a8d434091d4eb5a
uri: huggingface://Triangle104/Nano_Imp_1B-Q8_0-GGUF/nano_imp_1b-q8_0.gguf
- &qwen25
name: "qwen2.5-14b-instruct" ## Qwen2.5

Check warning on line 6952 in gallery/index.yaml

View workflow job for this annotation

GitHub Actions / Yamllint

6952:32 [comments] too few spaces before comment: expected 2
icon: https://avatars.githubusercontent.com/u/141221163
url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
license: apache-2.0
Expand Down Expand Up @@ -23023,3 +23023,30 @@
- filename: Evilmind-24B-v1.i1-Q4_K_M.gguf
sha256: 22e56c86b4f4a8f7eb3269f72a6bb0f06a7257ff733e21063fdec6691a52177d
uri: huggingface://mradermacher/Evilmind-24B-v1-i1-GGUF/Evilmind-24B-v1.i1-Q4_K_M.gguf
- !!merge <<: *qwen3vl
name: "qwen3-vl-timetravel-i1"
urls:
- https://huggingface.co/mradermacher/Qwen3-VL-TimeTravel-i1-GGUF
description: |
### **Qwen3-VL-TimeTravel**
*A fine-tuned multimodal model for historical artifact description*

**Base Model**: Qwen3-VL-8B-Instruct (via unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit)
**Fine-tuned On**: MBZUAI/TimeTravel dataset (10,000+ expert-verified historical artifacts)
**Task**: Image captioning and contextual description of cultural heritage objects
**Training**: LoRA fine-tuning with Unsloth, targeting vision, language, attention, and MLP layers
**Key Feature**: Specialized for cross-cultural, historically accurate artifact understanding across 266 cultures and 10 civilizations

This model excels at generating rich, nuanced descriptions of historical artifacts—ideal for use in archaeology, museum digitization, education, and AI research in cultural heritage.

👉 **Use Case**: Generate detailed, factually grounded descriptions from images of ancient artifacts.
📄 **Citation**: [Ghaboura et al., 2025 – Time Travel: A Comprehensive Benchmark for LMMs](https://arxiv.org/abs/2502.14865)

*Note: This is a quantized LoRA-finetuned version. The base model is available at [unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit).*
overrides:
parameters:
model: Qwen3-VL-TimeTravel.i1-Q4_K_M.gguf
files:
- filename: Qwen3-VL-TimeTravel.i1-Q4_K_M.gguf
sha256: a7aaab05af5e6d94e73970c91d179c167f32c904cfa9006bd1cd81aece13a6b7
uri: huggingface://mradermacher/Qwen3-VL-TimeTravel-i1-GGUF/Qwen3-VL-TimeTravel.i1-Q4_K_M.gguf
Loading