commit 9e70e7a4e717680771f80aaa94215cc61466c264 Author: ModelHub XC Date: Sat Oct 10 09:07:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: unsloth/LFM2-2.6B-Exp-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..87845a2 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,67 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text + +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +LFM2-2.6B-Exp-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q4_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q2_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q6_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-BF16.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q8_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +LFM2-2.6B-Exp-UD-Q5_K_XL.gguf filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LFM2-2.6B-Exp-BF16.gguf b/LFM2-2.6B-Exp-BF16.gguf new file mode 100644 index 0000000..4613946 --- /dev/null +++ b/LFM2-2.6B-Exp-BF16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4245df9558d58f8f0b9bf35fed571a5ceb28cdb18bb34ea936634e034620a8b0 +size 5141459584 diff --git a/LFM2-2.6B-Exp-Q2_K.gguf b/LFM2-2.6B-Exp-Q2_K.gguf new file mode 100644 index 0000000..82f2cc1 --- /dev/null +++ b/LFM2-2.6B-Exp-Q2_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8150e847557907c3608d05861cd8c51aa5839c281ed71d66d5ddd5a2af8d727d +size 983806592 diff --git a/LFM2-2.6B-Exp-Q2_K_L.gguf b/LFM2-2.6B-Exp-Q2_K_L.gguf new file mode 100644 index 0000000..82f2cc1 --- /dev/null +++ b/LFM2-2.6B-Exp-Q2_K_L.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8150e847557907c3608d05861cd8c51aa5839c281ed71d66d5ddd5a2af8d727d +size 983806592 diff --git a/LFM2-2.6B-Exp-Q3_K_M.gguf b/LFM2-2.6B-Exp-Q3_K_M.gguf new file mode 100644 index 0000000..0ad353d --- /dev/null +++ b/LFM2-2.6B-Exp-Q3_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79aa88595c3c213406016da34d0fd349b84c1b4bf2157ba3d915f212ba175cff +size 1256059520 diff --git a/LFM2-2.6B-Exp-Q3_K_S.gguf b/LFM2-2.6B-Exp-Q3_K_S.gguf new file mode 100644 index 0000000..3a6fef6 --- /dev/null +++ b/LFM2-2.6B-Exp-Q3_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83e81a69b2bed9ce0b5860ad7a5eb04feabd285afe631664ea5197524b68ee36 +size 1159737984 diff --git a/LFM2-2.6B-Exp-Q4_0.gguf b/LFM2-2.6B-Exp-Q4_0.gguf new file mode 100644 index 0000000..23ea919 --- /dev/null +++ b/LFM2-2.6B-Exp-Q4_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:52a4385c1b26d67d59370e7f2b799b835a37f1d41bdb76dad1da975959819999 +size 1483108992 diff --git a/LFM2-2.6B-Exp-Q4_1.gguf b/LFM2-2.6B-Exp-Q4_1.gguf new file mode 100644 index 0000000..2bbb8a4 --- /dev/null +++ b/LFM2-2.6B-Exp-Q4_1.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f08a724008ddca6b6a3df4fb041119f4ee4295c1e08970ec798efd228bb52e3c +size 1635283584 diff --git a/LFM2-2.6B-Exp-Q4_K_M.gguf b/LFM2-2.6B-Exp-Q4_K_M.gguf new file mode 100644 index 0000000..012c244 --- /dev/null +++ b/LFM2-2.6B-Exp-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ce3c8dd3271034833fa362d14de477f9ffc19d5549ae010bf9c8250471aa9c8 +size 1563669120 diff --git a/LFM2-2.6B-Exp-Q4_K_S.gguf b/LFM2-2.6B-Exp-Q4_K_S.gguf new file mode 100644 index 0000000..44bda23 --- /dev/null +++ b/LFM2-2.6B-Exp-Q4_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11874d6763b5fa8691e00ad2d316047b15d1e9266c8b4fc45d4976eb18e3d336 +size 1491890816 diff --git a/LFM2-2.6B-Exp-Q5_K_M.gguf b/LFM2-2.6B-Exp-Q5_K_M.gguf new file mode 100644 index 0000000..134f59c --- /dev/null +++ b/LFM2-2.6B-Exp-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f5918473920c33c084de2ce09d86d5ce1a693853aa0345a61e423e76c27dda8 +size 1828958848 diff --git a/LFM2-2.6B-Exp-Q5_K_S.gguf b/LFM2-2.6B-Exp-Q5_K_S.gguf new file mode 100644 index 0000000..e56f50a --- /dev/null +++ b/LFM2-2.6B-Exp-Q5_K_S.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:797498cf86c22a284f7f440b11ed6ad2e3f960feef5f4da9e7dcf2fd383da652 +size 1787458176 diff --git a/LFM2-2.6B-Exp-Q6_K.gguf b/LFM2-2.6B-Exp-Q6_K.gguf new file mode 100644 index 0000000..433d030 --- /dev/null +++ b/LFM2-2.6B-Exp-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ba521d5d0327a550ae82a4bc1bc0eb38de694e3463e1a76bf1066f70245bdff +size 2110829184 diff --git a/LFM2-2.6B-Exp-Q8_0.gguf b/LFM2-2.6B-Exp-Q8_0.gguf new file mode 100644 index 0000000..b13393a --- /dev/null +++ b/LFM2-2.6B-Exp-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71307ae4c3f01259a7ba73ced04dcca4932d9aa8c5e7ab479085c40f4eaff0b8 +size 2733011584 diff --git a/LFM2-2.6B-Exp-UD-Q2_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q2_K_XL.gguf new file mode 100644 index 0000000..82f2cc1 --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q2_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8150e847557907c3608d05861cd8c51aa5839c281ed71d66d5ddd5a2af8d727d +size 983806592 diff --git a/LFM2-2.6B-Exp-UD-Q3_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q3_K_XL.gguf new file mode 100644 index 0000000..0ad353d --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q3_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79aa88595c3c213406016da34d0fd349b84c1b4bf2157ba3d915f212ba175cff +size 1256059520 diff --git a/LFM2-2.6B-Exp-UD-Q4_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q4_K_XL.gguf new file mode 100644 index 0000000..012c244 --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q4_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ce3c8dd3271034833fa362d14de477f9ffc19d5549ae010bf9c8250471aa9c8 +size 1563669120 diff --git a/LFM2-2.6B-Exp-UD-Q5_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q5_K_XL.gguf new file mode 100644 index 0000000..134f59c --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q5_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f5918473920c33c084de2ce09d86d5ce1a693853aa0345a61e423e76c27dda8 +size 1828958848 diff --git a/LFM2-2.6B-Exp-UD-Q6_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q6_K_XL.gguf new file mode 100644 index 0000000..43b0f99 --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q6_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a415393aa0a13994996d69f0315f43d627eb19e7a6e60444b42ebb5227617205 +size 2143335040 diff --git a/LFM2-2.6B-Exp-UD-Q8_K_XL.gguf b/LFM2-2.6B-Exp-UD-Q8_K_XL.gguf new file mode 100644 index 0000000..de87a78 --- /dev/null +++ b/LFM2-2.6B-Exp-UD-Q8_K_XL.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed15270c75bc08de9ba4c909021a42b9f6ca863608e7f1c9385b8cb4e6883dcd +size 2858840704 diff --git a/README.md b/README.md new file mode 100644 index 0000000..eaf4f00 --- /dev/null +++ b/README.md @@ -0,0 +1,251 @@ +--- +base_model: +- LiquidAI/LFM2-2.6B-Exp +library_name: transformers +license: other +license_name: lfm1.0 +license_link: https://huggingface.co/LiquidAI/LFM2-2.6B-Exp/blob/main/LICENSE +language: +- en +- ar +- zh +- fr +- de +- ja +- ko +- es +pipeline_tag: text-generation +tags: +- liquid +- unsloth +- lfm2 +- edge +--- +> [!NOTE] +> Includes Unsloth **chat template fixes**!
For `llama.cpp`, use `--jinja` +> + +
+

+ Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. +

+
+ + + + + + + + + +
+
+ + +
+
+ Liquid AI +
+
+ +Try LFM • Documentation • LEAP +
+
+ +# LFM2-2.6B-Exp + +LFM2-2.6B-Exp is an experimental checkpoint built on [LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B) using pure reinforcement learning. + +Specifically trained on instruction following, knowledge, and math, it delivers particularly strong performance compared to other 3B models. +In particular, its IFBench score surpasses DeepSeek R1-0528, a model 263 times larger. + +![LFM2.6B-Exp-White_v1](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/5q5J1GZ-gAfguC1qafr8S.png) + +Find more information about LFM2 in our [blog post](https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models). + +## 📄 Model details + +Due to their small size, **we recommend fine-tuning LFM2 models on narrow use cases** to maximize performance. +They are particularly suited for agentic tasks, data extraction, RAG, creative writing, and multi-turn conversations. +However, we do not recommend using them for tasks that are knowledge-intensive or require programming skills. + +| Property | [**LFM2-350M**](https://huggingface.co/LiquidAI/LFM2-350M) | [**LFM2-700M**](https://huggingface.co/LiquidAI/LFM2-700M) | [**LFM2-1.2B**](https://huggingface.co/LiquidAI/LFM2-1.2B) | [**LFM2-2.6B**](https://huggingface.co/LiquidAI/LFM2-2.6B) | +| ------------------- | ----------------------------- | ----------------------------- | ----------------------------- | ----------------------------- | +| **Parameters** | 354,483,968 | 742,489,344 | 1,170,340,608 | 2,569,272,320 | +| **Layers** | 16 (10 conv + 6 attn) | 16 (10 conv + 6 attn) | 16 (10 conv + 6 attn) | 30 (22 conv + 8 attn) | +| **Context length** | 32,768 tokens | 32,768 tokens | 32,768 tokens | 32,768 tokens | +| **Vocabulary size** | 65,536 | 65,536 | 65,536 | 65,536 | +| **Precision** | bfloat16 | bfloat16 | bfloat16 | bfloat16 | +| **Training budget** | 10 trillion tokens | 10 trillion tokens | 10 trillion tokens | 10 trillion tokens | +| **License** | LFM Open License v1.0 | LFM Open License v1.0 | LFM Open License v1.0 | LFM Open License v1.0 + +**Supported languages**: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish. + +**Generation parameters**: We recommend the following parameters: +* `temperature=0.3` +* `min_p=0.15` +* `repetition_penalty=1.05` + +**Chat template**: LFM2 uses a ChatML-like chat template as follows: + +``` +<|startoftext|><|im_start|>system +You are a helpful assistant trained by Liquid AI.<|im_end|> +<|im_start|>user +What is C. elegans?<|im_end|> +<|im_start|>assistant +It's a tiny nematode that lives in temperate soil environments.<|im_end|> +``` + +You can automatically apply it using the dedicated [`.apply_chat_template()`](https://huggingface.co/docs/transformers/en/chat_templating#applychattemplate) function from Hugging Face transformers. + +**Tool use**: It consists of four main steps: +1. **Function definition**: LFM2 takes JSON function definitions as input (JSON objects between `<|tool_list_start|>` and `<|tool_list_end|>` special tokens), usually in the system prompt +2. **Function call**: LFM2 writes Pythonic function calls (a Python list between `<|tool_call_start|>` and `<|tool_call_end|>` special tokens), as the assistant answer. +3. **Function execution**: The function call is executed and the result is returned (string between `<|tool_response_start|>` and `<|tool_response_end|>` special tokens), as a "tool" role. +4. **Final answer**: LFM2 interprets the outcome of the function call to address the original user prompt in plain text. + +Here is a simple example of a conversation using tool use: + +``` +<|startoftext|><|im_start|>system +List of tools: <|tool_list_start|>[{"name": "get_candidate_status", "description": "Retrieves the current status of a candidate in the recruitment process", "parameters": {"type": "object", "properties": {"candidate_id": {"type": "string", "description": "Unique identifier for the candidate"}}, "required": ["candidate_id"]}}]<|tool_list_end|><|im_end|> +<|im_start|>user +What is the current status of candidate ID 12345?<|im_end|> +<|im_start|>assistant +<|tool_call_start|>[get_candidate_status(candidate_id="12345")]<|tool_call_end|>Checking the current status of candidate ID 12345.<|im_end|> +<|im_start|>tool +<|tool_response_start|>[{"candidate_id": "12345", "status": "Interview Scheduled", "position": "Clinical Research Associate", "date": "2023-11-20"}]<|tool_response_end|><|im_end|> +<|im_start|>assistant +The candidate with ID 12345 is currently in the "Interview Scheduled" stage for the position of Clinical Research Associate, with an interview date set for 2023-11-20.<|im_end|> +``` + +You can directly pass tools as JSON schema or Python functions with `.apply_chat_template()` as shown in [this page](https://huggingface.co/docs/transformers/en/chat_extras) to automatically format the system prompt. + +**Architecture**: Hybrid model with multiplicative gates and short convolutions: 10 double-gated short-range LIV convolution blocks and 6 grouped query attention (GQA) blocks. + +**Pre-training mixture**: Approximately 75% English, 20% multilingual, and 5% code data sourced from the web and licensed materials. + +**Training approach**: +* Very large-scale SFT on 50% downstream tasks, 50% general domains +* Custom DPO with length normalization and semi-online datasets +* Iterative model merging +* Reinforcement learning with verifiable rewards + +## 🏃 How to run LFM2 + +### 1. Transformers + +To run LFM2, you need to install Hugging Face [`transformers`](https://github.com/huggingface/transformers) v4.55 or a more recent version as follows: + +```bash +pip install -U transformers +``` + +Here is an example of how to generate an answer with transformers in Python: + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +# Load model and tokenizer +model_id = "LiquidAI/LFM2-2.6B-Exp" +model = AutoModelForCausalLM.from_pretrained( + model_id, + device_map="auto", + torch_dtype="bfloat16", +# attn_implementation="flash_attention_2" <- uncomment on compatible GPU +) +tokenizer = AutoTokenizer.from_pretrained(model_id) + +# Generate answer +prompt = "What is C. elegans?" +input_ids = tokenizer.apply_chat_template( + [{"role": "user", "content": prompt}], + add_generation_prompt=True, + return_tensors="pt", + tokenize=True, +).to(model.device) + +output = model.generate( + input_ids, + do_sample=True, + temperature=0.3, + min_p=0.15, + repetition_penalty=1.05, + max_new_tokens=512, +) + +print(tokenizer.decode(output[0], skip_special_tokens=False)) + +# <|startoftext|><|im_start|>user +# What is C. elegans?<|im_end|> +# <|im_start|>assistant +# C. elegans, also known as Caenorhabditis elegans, is a small, free-living +# nematode worm (roundworm) that belongs to the phylum Nematoda. +``` + +You can directly run and test the model with this [Colab notebook](https://colab.research.google.com/drive/1_q3jQ6LtyiuPzFZv7Vw8xSfPU5FwkKZY?usp=sharing). + +### 2. vLLM + +You need to install [`vLLM`](https://github.com/vllm-project/vllm) v0.10.2 or a more recent version as follows: + +```bash +uv pip install vllm==0.10.2 --extra-index-url https://wheels.vllm.ai/0.10.2/ --torch-backend=auto +``` + +Here is an example of how to use it for inference: + +```python +from vllm import LLM, SamplingParams + +prompts = [ + "What is C. elegans?", + "Say hi in JSON format", + "Define AI in Spanish" +] +sampling_params = SamplingParams(temperature=0.3, min_p=0.15, repetition_penalty=1.05) + +llm = LLM(model="LiquidAI/LFM2-2.6B-Exp") + +outputs = llm.generate(prompts, sampling_params) + +for output in outputs: + prompt = output.prompt + generated_text = output.outputs[0].text + print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}") +``` + +### 3. llama.cpp + +You can run LFM2 with llama.cpp using its [GGUF checkpoint](https://huggingface.co/LiquidAI/LFM2-2.6B-Exp-GGUF). Find more information in the model card. + +## 🔧 How to fine-tune LFM2 + +We recommend fine-tuning LFM2 models on your use cases to maximize performance. + +| Notebook | Description | Link | +|-------|------|------| +| SFT (Unsloth) | Supervised Fine-Tuning (SFT) notebook with a LoRA adapter using Unsloth. | Colab link | +| SFT (TRL) | Supervised Fine-Tuning (SFT) notebook with a LoRA adapter using TRL. | Colab link | +| DPO (TRL) | Preference alignment with Direct Preference Optimization (DPO) using TRL. | Colab link | + +## 📬 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} +} +``` \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file