commit 32c15b620c78a33c4a21d05a22c553703f85d1df Author: ModelHub XC Date: Fri Jun 19 14:34:26 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: MuXodious/LFM2.5-VL-1.6B-absolute-heresy-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..0867969 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,47 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs 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Upon termination, You must cease all use of the Work and any Derivative Works and delete all copies in Your possession. +END OF TERMS AND CONDITIONS \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..66ec6f9 --- /dev/null +++ b/README.md @@ -0,0 +1,265 @@ +--- +library_name: transformers +license: other +license_name: lfm1.0 +license_link: LICENSE +language: +- en +- ja +- ko +- fr +- es +- de +- ar +- zh +pipeline_tag: image-text-to-text +tags: +- liquid +- lfm2 +- lfm2-vl +- edge +- lfm2.5-vl +- lfm2.5 +- heretic +- uncensored +- decensored +- abliterated +base_model: MuXodious/LFM2.5-VL-1.6B-absolute-heresy +base_model_relation: quantized +--- +Static GGUF quants of **LFM2.5-VL-1.6B-absolute-heresy**. + +**Note:** There was an official update to the jinja chat template. Quants here need to be updated as a result. In the meantime, load [the updated template](https://huggingface.co/MuXodious/LFM2.5-VL-1.6B-absolute-heresy/blob/main/chat_template.jinja) manually, using the argument `--chat-template-file` on llama.cpp. + +--- +This is an **LFM2.5-VL-1.6B** fine-tune, produced through P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.1.0) abliteration engine merged with the [Hybrid Layer Support PR](https://github.com/p-e-w/heretic/pull/43). + +**Note:** *Transformers v5.0.0rc3 or higher is required to interface.* + + + +**Heretication Results** + +| Score Metric | Value | Parameter | Value | +| :--- | :--- | :--- | :--- | +| **Refusals** | 8/100 | **direction_index** | per layer | +| **KL Divergence** | 0.0470| **attn.o_proj.max_weight** | 1.74 | +| **Initial Refusals** | 95/100 | **attn.o_proj.max_weight_position** | 10.53 | +| | | **attn.o_proj.min_weight** | 1.18 | +| | | **attn.o_proj.min_weight_distance** | 6.12 | +| | | **conv.out_proj.max_weight** | 2.34 | +| | | **conv.out_proj.max_weight_position** | 11.68 | +| | | **conv.out_proj.min_weight** | 0.82 | +| | | **conv.out_proj.min_weight_distance** | 2.87 | +| | | **mlp.down_proj.max_weight** | 2.21 | +| | | **mlp.down_proj.max_weight_position** | 14.72 | +| | | **mlp.down_proj.min_weight** | 1.25 | +| | | **mlp.down_proj.min_weight_distance** | 2.08 | + +--- +## Degree of Heretication +The **Heresy Index** weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification. + +| Index Entry | Classification | Analysis | +| :--- | :--- | :--- | +| ![Absolute](https://img.shields.io/badge/HERESY_INDEX-ABSOLUTE-white?style=flat-square&labelColor=101010) | **Absolute Heresy** | Less than 10/100 Refusals and 0.10 KL Divergence | +| ![Tainted](https://img.shields.io/badge/HERESY_INDEX-TAINTED-blueviolet?style=flat-square&labelColor=101010) | **Tainted Heresy** | Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence | +| ![Impotent](https://img.shields.io/badge/HERESY_INDEX-IMPOTENT-5c4033?style=flat-square&labelColor=101010) | **Impotent Heresy** | Anything above 25/100 Refusals and 0.21 KL Divergence | + +**Note**: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance. + +--- +
+
+ Liquid AI +
+
+Try LFM • Documentation • LEAP • WebGPU demo +
+
+ +# LFM2.5‑VL-1.6B + +LFM2.5‑VL-1.6B is [Liquid AI](https://www.liquid.ai/)'s refreshed version of the first vision-language model, [LFM2-VL-1.6B](https://huggingface.co/LiquidAI/LFM2-VL-1.6B), built on an updated backbone [LFM2.5-1.2B-Base](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base) and tuned for stronger real-world performance. Find more about LFM2.5 family of models in our [blog post](https://www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai). + +* **Enhanced instruction following** on vision and language tasks. +* **Improved multilingual vision understanding** in Arabic, Chinese, French, German, Japanese, Korean, and Spanish. +* **Robust understanding of visual content** with improved results on multi-image inputs, high-resolution images, and OCR. + +🎥⚡️ You can try LFM2.5-VL-1.6B running locally in your browser with our real-time video stream captioning [WebGPU demo](https://huggingface.co/spaces/LiquidAI/LFM2.5-VL-1.6B-WebGPU) 🎥⚡️ + +Alternatively, try the API model on the [Playground](https://playground.liquid.ai/chat?model=lfm2.5-vl-1.6b). + + +## 📄 Model details + +| Model | Parameters | Description | +|-------|------------|-------------| +| [LFM2.5-1.2B-Base](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base) | 1.2B | Pre-trained base model for fine-tuning | +| [LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct) | 1.2B | General-purpose instruction-tuned model | +| [LFM2.5-1.2B-JP](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP) | 1.2B | Japanese-optimized chat model | +| [**LFM2.5-VL-1.6B**](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B) | 1.6B | Vision-language model with fast inference | +| [LFM2.5-Audio-1.5B](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B) | 1.5B | Audio-language model for speech and text I/O | + +LFM2.5-VL-1.6B is a general-purpose vision-language model with the following features: + +- **LM Backbone**: LFM2.5-1.2B-Base +- **Vision encoder**: SigLIP2 NaFlex shape‑optimized 400M +- **Context length**: 32,768 tokens +- **Vocabulary size**: 65,536 +- **Languages**: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish +- **Native resolution processing**: handles images up to 512*512 pixels without upscaling and preserves non-standard aspect ratios without distortion +- **Tiling strategy**: splits large images into non-overlapping 512×512 patches and includes thumbnail encoding for global context +- **Inference-time flexibility**: user-tunable maximum image tokens and tile count for speed/quality tradeoff without retraining +- **Generation parameters**: + - text: `temperature=0.1`, `min_p=0.15`, `repetition_penalty=1.05` + - vision: `min_image_tokens=64` `max_image_tokens=256`, `do_image_splitting=True` + +| Model | Description | +|-------|-------------| +| [**LFM2.5-VL-1.6B**](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B) | Original model checkpoint in native format. Best for fine-tuning or inference with Transformers and vLLM. | +| [LFM2.5-VL-1.6B-GGUF](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B-GGUF) | Quantized format for llama.cpp and compatible tools. Optimized for CPU inference and local deployment with reduced memory usage. | +| [LFM2.5-VL-1.6B-ONNX](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B-ONNX) | ONNX Runtime format for cross-platform deployment. Enables hardware-accelerated inference across diverse environments (cloud, edge, mobile). | +| [LFM2.5-VL-1.6B-MLX](https://huggingface.co/mlx-community/LFM2.5-VL-1.6B-8bit) | MLX format for Apple Silicon. Optimized for fast inference on Mac devices using the MLX framework. | + +We recommend using it for general vision-language workloads, OCR or document comprehension. It’s not well-suited for knowledge-intensive tasks. + +### Chat Template + +LFM2.5-VL uses a ChatML-like format. See the [Chat Template documentation](https://docs.liquid.ai/lfm/key-concepts/chat-template#vision-models) for details. + +``` +<|startoftext|><|im_start|>system +You are a helpful multimodal assistant by Liquid AI.<|im_end|> +<|im_start|>user +Describe this image.<|im_end|> +<|im_start|>assistant +This image shows a Caenorhabditis elegans (C. elegans) nematode.<|im_end|> +``` + +You can use [`processor.apply_chat_template()`](https://huggingface.co/docs/transformers/en/chat_templating_multimodal) to format your messages automatically. + +## 🏃 Inference + +You can run LFM2.5-VL-1.6B with Hugging Face [`transformers`](https://github.com/huggingface/transformers): + +```bash +pip install git+https://github.com/huggingface/transformers.git@3c2517727ce28a30f5044e01663ee204deb1cdbe pillow +``` + +```python +from transformers import AutoProcessor, AutoModelForImageTextToText +from transformers.image_utils import load_image + +# Load model and processor +model_id = "LiquidAI/LFM2.5-VL-1.6B" +model = AutoModelForImageTextToText.from_pretrained( + model_id, + device_map="auto", + dtype="bfloat16" +) +processor = AutoProcessor.from_pretrained(model_id) + +# Load image and create conversation +url = "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" +image = load_image(url) +conversation = [ + { + "role": "user", + "content": [ + {"type": "image", "image": image}, + {"type": "text", "text": "What is in this image?"}, + ], + }, +] + +# Generate Answer +inputs = processor.apply_chat_template( + conversation, + add_generation_prompt=True, + return_tensors="pt", + return_dict=True, + tokenize=True, +).to(model.device) +outputs = model.generate(**inputs, max_new_tokens=64) +processor.batch_decode(outputs, skip_special_tokens=True)[0] + +# This image showcases the iconic Statue of Liberty standing majestically on Liberty Island in New York Harbor. The statue is positioned on a small island surrounded by calm blue waters, with the New York City skyline visible in the background. +``` + +### Tool Use + +LFM2.5 supports function calling for text only input by applying the chat template with the tokenizer. See the [Tool Use documentation](https://docs.liquid.ai/lfm/key-concepts/tool-use) for the full guide. + +```python +tools = [{ + "name": "get_weather", + "description": "Get current weather for a location", + "parameters": { + "type": "object", + "properties": {"location": {"type": "string"}}, + "required": ["location"] + } +}] + +messages = [{"role": "user", "content": "What's the weather in Paris?"}] + +# Apply chat template with tools +inputs = processor.tokenizer.apply_chat_template( + messages, + tools=tools, + add_generation_prompt=True, + return_tensors="pt", + return_dict=True, +) +input_ids = inputs["input_ids"].to(model.device) +outputs = model.generate(input_ids, max_new_tokens=256) +response = processor.tokenizer.decode(outputs[0, input_ids.shape[1]:], skip_special_tokens=False) + +# <|tool_call_start|>[get_weather(location="Paris")]<|tool_call_end|>I am retrieving the current weather for Paris.<|im_end|> +``` + +| Name | Description | Docs | Notebook | +|------|-------------|------|----------| +| [Transformers](https://github.com/huggingface/transformers) | Simple inference with direct access to model internals. | Link| Colab link | +| [vLLM](https://github.com/vllm-project/vllm) | High-throughput production deployments with GPU. | coming soon | Colab link | +| [llama.cpp](https://github.com/ggml-org/llama.cpp) | Cross-platform inference with CPU offloading. | Link | Colab link | + +## 🔧 Fine-tuning + +We recommend fine-tuning LFM2.5-VL-1.6B model on your use cases to maximize performance. + +| Notebook | Description | Link | +|-----------|----------------------------------------------------------------------|------| +| SFT (TRL) | Supervised Fine-Tuning with LoRA using TRL. | Colab link | + + +## 📊 Performance + +| Model | MMStar | MM-IFEval | BLINK | InfoVQA (Val) | OCRBench (v2) | RealWorldQA | MMMU (Val) | MMMB (avg) | Multilingual MMBench (avg) | +|--------------------|--------|-----------|-------|---------------|---------------|-------------|------------|------------|----------------------------| +| **LFM2.5-VL-1.6B** | 50.67 | 52.29 | 48.82 | 62.71 | 41.44 | 64.84 | 40.56 | 76.96 | 65.90 | +| LFM2-VL-1.6B | 49.87 | 46.35 | 44.50 | 58.35 | 35.11 | 65.75 | 39.67 | 72.13 | 60.57 | +| InternVL3.5-1B | 50.27 | 36.17 | 44.19 | 60.99 | 33.53 | 57.12 | 41.89 | 68.93 | 58.32 | +| FastVLM-1.5B | 53.13 | 24.99 | 43.29 | 23.92 | 26.61 | 61.56 | 38.78 | 64.84 | 50.89 | + +All vision benchmark scores are obtained using [VLMEvalKit](https://github.com/open-compass/VLMEvalKit). Multilingual scores are based on the average of benchmarks translated by GPT-4.1-mini from English to Arabic, Chinese, French, German, Japanese, Korean, and Spanish. + +## 📬 Contact + +If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact). + +## Citation + +``` +@article{liquidai2025lfm2, + title={LFM2 Technical Report}, + author={Liquid AI}, + journal={arXiv preprint arXiv:2511.23404}, + year={2025} +} +```a diff --git a/mmproj-LFM2.5-VL-1.6b-absolute-heresy-BF16.gguf b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-BF16.gguf new file mode 100644 index 0000000..ad69ced --- /dev/null +++ b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-BF16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04267bdc5b062c72078107c5b2e002dd013cadd7130c34d7958c09c9e7d33d49 +size 855763424 diff --git a/mmproj-LFM2.5-VL-1.6b-absolute-heresy-F16.gguf b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-F16.gguf new file mode 100644 index 0000000..1075a36 --- /dev/null +++ b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-F16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b30b0fc2d08f8cfc9de2177f90a23fad0d2012e783620f7deb321970f6489e68 +size 853993952 diff --git a/mmproj-LFM2.5-VL-1.6b-absolute-heresy-Q8_0.gguf b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-Q8_0.gguf new file mode 100644 index 0000000..d9d6ac3 --- /dev/null +++ b/mmproj-LFM2.5-VL-1.6b-absolute-heresy-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:33cd42286a93aeaa542b19cfaf7bf301bdcd729cea4e2a060d09aaaf72b9825b +size 583109984