Instructions to use ClaudioItaly/Albacus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudioItaly/Albacus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ClaudioItaly/Albacus")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ClaudioItaly/Albacus") model = AutoModelForCausalLM.from_pretrained("ClaudioItaly/Albacus") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ClaudioItaly/Albacus with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ClaudioItaly/Albacus" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ClaudioItaly/Albacus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ClaudioItaly/Albacus
- SGLang
How to use ClaudioItaly/Albacus 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/Albacus" \ --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/Albacus", "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/Albacus" \ --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/Albacus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ClaudioItaly/Albacus with Docker Model Runner:
docker model run hf.co/ClaudioItaly/Albacus
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base_model:
- ClaudioItaly/Evolutionstory-7B-v2.2
library_name: transformers
tags:
- mergekit
- merge
license: mit
---
# 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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [ClaudioItaly/Evolutionstory-7B-v2.2](https://huggingface.co/ClaudioItaly/Evolutionstory-7B-v2.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 0
- 4
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 3
- 4
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 4
- 8
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 7
- 8
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 8
- 12
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 11
- 12
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 12
- 16
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 15
- 16
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 16
- 20
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 19
- 20
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 20
- 24
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 23
- 24
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 24
- 28
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 27
- 28
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 28
- 32
- sources:
- model: ClaudioItaly/Evolutionstory-7B-v2.2
layer_range:
- 31
- 32
parameters:
scale:
- filter: o_proj
value: 0
- filter: down_proj
value: 0
- value: 1
merge_method: passthrough
dtype: bfloat16
``` |