Instructions to use automerger/Shadowm7expMergerix-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use automerger/Shadowm7expMergerix-7B with Transformers:

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

pipe = pipeline("text-generation", model="automerger/Shadowm7expMergerix-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("automerger/Shadowm7expMergerix-7B")
model = AutoModelForCausalLM.from_pretrained("automerger/Shadowm7expMergerix-7B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use automerger/Shadowm7expMergerix-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "automerger/Shadowm7expMergerix-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "automerger/Shadowm7expMergerix-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/automerger/Shadowm7expMergerix-7B

SGLang

How to use automerger/Shadowm7expMergerix-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 "automerger/Shadowm7expMergerix-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": "automerger/Shadowm7expMergerix-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 "automerger/Shadowm7expMergerix-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": "automerger/Shadowm7expMergerix-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use automerger/Shadowm7expMergerix-7B with Docker Model Runner:
```
docker model run hf.co/automerger/Shadowm7expMergerix-7B
```

automerger commited on Apr 23, 2024

Commit

efcae9a

verified ·

1 Parent(s): 7a77c24

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README.md +8 -23

README.md CHANGED Viewed

@@ -5,38 +5,23 @@ tags:
 - mergekit
 - lazymergekit
 - automerger
-base_model:
-- mahiatlinux/ShadowM7EXP-7B
-- MiniMoog/Mergerix-7b-v0.3
 ---
 # Shadowm7expMergerix-7B
 Shadowm7expMergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
-* [mahiatlinux/ShadowM7EXP-7B](https://huggingface.co/mahiatlinux/ShadowM7EXP-7B)
-* [MiniMoog/Mergerix-7b-v0.3](https://huggingface.co/MiniMoog/Mergerix-7b-v0.3)
 ## 🧩 Configuration
 ```yaml
-slices:
-  - sources:
-      - model: mahiatlinux/ShadowM7EXP-7B
-        layer_range: [0, 32]
-      - model: MiniMoog/Mergerix-7b-v0.3
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: mahiatlinux/ShadowM7EXP-7B
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5
-dtype: bfloat16
-random_seed: 0
-    ```
 ## 💻 Usage

 - mergekit
 - lazymergekit
 - automerger
 ---
 # Shadowm7expMergerix-7B
 Shadowm7expMergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
 ## 🧩 Configuration
 ```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+  - model: mahiatlinux/ShadowM7EXP-7B
+  - model: MiniMoog/Mergerix-7b-v0.3
+merge_method: model_stock
+base_model: mistralai/Mistral-7B-v0.1
+dtype: bfloat16
+```
 ## 💻 Usage