Instructions to use yamatazen/LorablatedStock-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yamatazen/LorablatedStock-12B with Transformers:

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

pipe = pipeline("text-generation", model="yamatazen/LorablatedStock-12B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("yamatazen/LorablatedStock-12B")
model = AutoModelForCausalLM.from_pretrained("yamatazen/LorablatedStock-12B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use yamatazen/LorablatedStock-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yamatazen/LorablatedStock-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yamatazen/LorablatedStock-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/yamatazen/LorablatedStock-12B

SGLang

How to use yamatazen/LorablatedStock-12B 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 "yamatazen/LorablatedStock-12B" \
    --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": "yamatazen/LorablatedStock-12B",
		"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 "yamatazen/LorablatedStock-12B" \
        --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": "yamatazen/LorablatedStock-12B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use yamatazen/LorablatedStock-12B with Docker Model Runner:
```
docker model run hf.co/yamatazen/LorablatedStock-12B
```

yamatazen commited on Jun 6, 2025

Commit

5fd8b54

verified ·

1 Parent(s): 6d6e7ab

Update README.md

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README.md +39 -36

README.md CHANGED Viewed

@@ -1,36 +1,39 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-# LorablatedStock-12B
-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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using C:\Users\yamat\Desktop\text-generation-webui\user_data\models\HMS-Fusion-12B-Lorablated as a base.
-### Models Merged
-The following models were included in the merge:
-* C:\Users\yamat\Desktop\text-generation-webui\user_data\models\ForgottenMaid-12B-Lorablated
-* C:\Users\yamat\Desktop\text-generation-webui\user_data\models\FusionEngine-12B-Lorablated
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-merge_method: model_stock
-dtype: bfloat16
-out_dtype: bfloat16
-base_model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\HMS-Fusion-12B-Lorablated
-models:
-  - model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\ForgottenMaid-12B-Lorablated
-  - model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\FusionEngine-12B-Lorablated
-```

+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+- lorablated
+language:
+- en
+- ja
+---
+![image/png](https://huggingface.co/yamatazen/LorablatedStock-12B/resolve/main/LorablatedStock-12B.png?download=true)
+# LorablatedStock-12B
+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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using C:\Users\yamat\Desktop\text-generation-webui\user_data\models\HMS-Fusion-12B-Lorablated as a base.
+### Models Merged
+The following models were included in the merge:
+* C:\Users\yamat\Desktop\text-generation-webui\user_data\models\ForgottenMaid-12B-Lorablated
+* C:\Users\yamat\Desktop\text-generation-webui\user_data\models\FusionEngine-12B-Lorablated
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+merge_method: model_stock
+dtype: bfloat16
+out_dtype: bfloat16
+base_model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\HMS-Fusion-12B-Lorablated
+models:
+  - model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\ForgottenMaid-12B-Lorablated
+  - model: C:\Users\yamat\Desktop\text-generation-webui\user_data\models\FusionEngine-12B-Lorablated
+```