Instructions to use ChaoticNeutrals/Prima-LelantaclesV6-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ChaoticNeutrals/Prima-LelantaclesV6-7b with Transformers:

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

pipe = pipeline("text-generation", model="ChaoticNeutrals/Prima-LelantaclesV6-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ChaoticNeutrals/Prima-LelantaclesV6-7b")
model = AutoModelForCausalLM.from_pretrained("ChaoticNeutrals/Prima-LelantaclesV6-7b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ChaoticNeutrals/Prima-LelantaclesV6-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ChaoticNeutrals/Prima-LelantaclesV6-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ChaoticNeutrals/Prima-LelantaclesV6-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ChaoticNeutrals/Prima-LelantaclesV6-7b

SGLang

How to use ChaoticNeutrals/Prima-LelantaclesV6-7b 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 "ChaoticNeutrals/Prima-LelantaclesV6-7b" \
    --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": "ChaoticNeutrals/Prima-LelantaclesV6-7b",
		"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 "ChaoticNeutrals/Prima-LelantaclesV6-7b" \
        --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": "ChaoticNeutrals/Prima-LelantaclesV6-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ChaoticNeutrals/Prima-LelantaclesV6-7b with Docker Model Runner:
```
docker model run hf.co/ChaoticNeutrals/Prima-LelantaclesV6-7b
```

Nitral commited on Mar 1, 2024

Commit

ab29ad5

verified ·

1 Parent(s): 02d36d1

Update README.md

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@@ -8,19 +8,12 @@ tags:
 - merge
 ---
-# mergedmodel
-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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Test157t/Lelantacles6-Experiment26-7B](https://huggingface.co/Test157t/Lelantacles6-Experiment26-7B) as a base.
 ### Models Merged
 The following models were included in the merge:
-* [Test157t/West-Pasta-Lake-7b](https://huggingface.co/Test157t/West-Pasta-Lake-7b)
 ### Configuration

 - merge
 ---
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708)
 ### Models Merged
 The following models were included in the merge:
+* [Test157t/West-Pasta-Lake-7b](https://huggingface.co/Test157t/West-Pasta-Lake-7b) + [Test157t/Lelantacles6-Experiment26-7B](https://huggingface.co/Test157t/Lelantacles6-Experiment26-7B)
 ### Configuration