Instructions to use yethdev/lfm2.5-1.2b-thinking-manumit-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yethdev/lfm2.5-1.2b-thinking-manumit-v1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="yethdev/lfm2.5-1.2b-thinking-manumit-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("yethdev/lfm2.5-1.2b-thinking-manumit-v1")
model = AutoModelForCausalLM.from_pretrained("yethdev/lfm2.5-1.2b-thinking-manumit-v1", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use yethdev/lfm2.5-1.2b-thinking-manumit-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yethdev/lfm2.5-1.2b-thinking-manumit-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yethdev/lfm2.5-1.2b-thinking-manumit-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/yethdev/lfm2.5-1.2b-thinking-manumit-v1

SGLang

How to use yethdev/lfm2.5-1.2b-thinking-manumit-v1 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "yethdev/lfm2.5-1.2b-thinking-manumit-v1" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yethdev/lfm2.5-1.2b-thinking-manumit-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "yethdev/lfm2.5-1.2b-thinking-manumit-v1" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yethdev/lfm2.5-1.2b-thinking-manumit-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use yethdev/lfm2.5-1.2b-thinking-manumit-v1 with Docker Model Runner:
```
docker model run hf.co/yethdev/lfm2.5-1.2b-thinking-manumit-v1
```

yethdev commited on 11 days ago

Commit

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@@ -12,3 +12,44 @@ language:
 library_name: transformers
 pipeline_tag: text-generation
 ---

 library_name: transformers
 pipeline_tag: text-generation
 ---
+# lfm2.5-1.2b-thinking-manumit-v1
+[LFM2.5-1.2B-Thinking](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking) abliterated via manumit v1
+## Benchmarks
+| Model | Refusal Rate | MMLU |
+| ----------- | ----------- | ----------- |
+| LFM2.5-1.2B-Thinking | 16.7% | 41.9% |
+| lfm2.5-1.2b-thinking-manumit-v1 | 45.8% | 45.1% |
+## About
+Abliteration removes annoying safeguards that deny requests.
+This repository contains [LFM2.5-1.2B-Thinking](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking) abliterated with manumit v1. manumit is an abliteration tool that is still in development, and will continue to improve. You can view the GGUF version of this at https://huggingface.co/yethdev/lfm2.5-1.2b-thinking-manumit-v1-GGUF.
+## License
+MIT
+<small>Copyright (c) 2026 yethdev
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.</small>