Instructions to use 0-hero/Matter-0.2-8x22B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 0-hero/Matter-0.2-8x22B with Transformers:

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

pipe = pipeline("text-generation", model="0-hero/Matter-0.2-8x22B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("0-hero/Matter-0.2-8x22B")
model = AutoModelForCausalLM.from_pretrained("0-hero/Matter-0.2-8x22B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use 0-hero/Matter-0.2-8x22B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "0-hero/Matter-0.2-8x22B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0-hero/Matter-0.2-8x22B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/0-hero/Matter-0.2-8x22B

SGLang

How to use 0-hero/Matter-0.2-8x22B 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 "0-hero/Matter-0.2-8x22B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0-hero/Matter-0.2-8x22B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "0-hero/Matter-0.2-8x22B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0-hero/Matter-0.2-8x22B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use 0-hero/Matter-0.2-8x22B with Docker Model Runner:
```
docker model run hf.co/0-hero/Matter-0.2-8x22B
```

0-hero commited on Apr 14, 2024

Commit

ec4c58e

verified ·

1 Parent(s): 8e9bc19

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@@ -1,3 +1,78 @@
 ---
 license: apache-2.0
 ---

 ---
 license: apache-2.0
+datasets:
+- 0-hero/Matter-0.2-alpha-Slim-A
+language:
+- en
 ---
+## Matter 8x22B - 0.2 (Mixtral 8x22B 0.2 Finetune)
+Matter 8x22B 0.2 is finetune on the **Matter 0.2 dataset**, which is curated from over 35 datsets analyzing >6B tokens
+### Recommended Usage for best results
+System Prompt - `You are a helpful assistant`
+### Training
+Prompt format: This model uses ChatML prompt format.
+```
+<|im_start|>system
+You are a helpful AI assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+### Function Calling
+Model also supports function calling. Additional tokens for function calling
+Model function call tokens
+- `<tool_call>` - Function call start token
+- `</tool_call>` - Function call end token
+Function call response tokens
+- `<tool_response>` - Function response start token
+- `</tool_response>` - Function response end token
+Example
+```
+<|im_start|>system
+  You are a helpful assistant with access to the following functions. Use them if required -
+  { "name": "get_news_headlines",
+    "description": "Get the latest news headlines",
+    "parameters":
+      { "type": "object",
+        "properties":
+        { "country":
+          { "type": "string",
+            "description": "The country for which to fetch news"
+          }
+        },
+      "required": [ "country" ]
+    }
+  }
+<|im_end|>
+<|im_start|>user
+   Can you tell me the latest news headlines for the United States?<|im_end|>
+<|im_start|>assistant
+  <tool_call>{"name": "get_news_headlines", "arguments": '{"country": "United States"}'}</tool_call><|im_end|>
+<|im_start|>user
+  <tool_response>{
+    "headlines":
+      [
+        "Biden announces new vaccine mandates",
+        "Hurricane Ida devastates Louisiana",
+        "Apple unveils new iPhone",
+        "NASA's Perseverance rover collects first Mars rock sample"
+      ]
+  }</tool_response>
+<|im_end|>
+<|im_start|>assistant
+  Here are the latest news headlines for the United States:
+  1. Biden announces new vaccine mandates
+  2. Hurricane Ida devastates Louisiana
+  3. Apple unveils new iPhone
+  4. NASA's Perseverance rover collects first Mars rock sample
+<|im_end|>
+```