Instructions to use ClaudioItaly/Eutopia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudioItaly/Eutopia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ClaudioItaly/Eutopia")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ClaudioItaly/Eutopia") model = AutoModelForCausalLM.from_pretrained("ClaudioItaly/Eutopia") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ClaudioItaly/Eutopia with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ClaudioItaly/Eutopia" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ClaudioItaly/Eutopia", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ClaudioItaly/Eutopia
- SGLang
How to use ClaudioItaly/Eutopia 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 "ClaudioItaly/Eutopia" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ClaudioItaly/Eutopia", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "ClaudioItaly/Eutopia" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ClaudioItaly/Eutopia", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ClaudioItaly/Eutopia with Docker Model Runner:
docker model run hf.co/ClaudioItaly/Eutopia
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base_model:
- Sao10K/Fimbulvetr-11B-v2
- Undi95/Utopia-13B
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)
* [Undi95/Utopia-13B](https://huggingface.co/Undi95/Utopia-13B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Undi95/Utopia-13B
layer_range: [0, 20] # Intervallo ridotto
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [20, 39] # Usa solo i layer superiori
base_model:
model: Sao10K/Fimbulvetr-11B-v2
merge_method: slerp
dtype: float16
parameters:
t: [0, 0.2, 0.4, 0.5, 0.4, 0.2, 0]
temp: 1.5
density:
- threshold: 0.1
t: 0.7
- threshold: 0.5
t: 0.5
- threshold: 0.9
t: 0.3
```
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