Instructions to use Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge with Transformers:

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

pipe = pipeline("text-generation", model="Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge")
model = AutoModelForCausalLM.from_pretrained("Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge")
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

vLLM

How to use Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge

SGLang

How to use Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge 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 "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge" \
    --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": "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge",
		"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 "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge" \
        --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": "Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge with Docker Model Runner:
```
docker model run hf.co/Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge
```

Qwen2.5-142B-Doubled72B-Math-Instruct (Mergekit-Merge) by Solshine (Caleb DeLeeuw)

merge

This is a merge of pre-trained language models created using mergekit.

License

Hippocratic License 3.0 + Ecocide module, + Extractive Industries module, + Copyleft https://firstdonoharm.dev/version/3/0/cl-eco-extr.txt

Merge Details

Merge Method

This model was merged using the passthrough merge method. Every layer is doubled in order, from Qwen/Qwen2.5-72B-Instruct and Qwen/Qwen2.5-Math-72B, alternating which model is adding a layer and the MLP layers + 2 output layers only taken from the instruct model, creating 142B parameters. No additional fine-tune has been done in this merged model.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [0, 1]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [0, 1]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [1, 2]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [1, 2]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [2, 3]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [2, 3]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [3, 4]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [3, 4]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [4, 5]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [4, 5]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [5, 6]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [5, 6]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [6, 7]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [6, 7]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [7, 8]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [7, 8]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [8, 9]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [8, 9]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [9, 10]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [9, 10]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [10, 11]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [10, 11]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [11, 12]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [11, 12]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [12, 13]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [12, 13]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [13, 14]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [13, 14]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [14, 15]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [14, 15]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [15, 16]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [15, 16]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [16, 17]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [16, 17]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [17, 18]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [17, 18]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [18, 19]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [18, 19]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [19, 20]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [19, 20]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [20, 21]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [20, 21]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [21, 22]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [21, 22]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [22, 23]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [22, 23]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [23, 24]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [23, 24]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [24, 25]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [24, 25]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [25, 26]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [25, 26]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [26, 27]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [26, 27]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [27, 28]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [27, 28]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [28, 29]
  - sources:
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        layer_range: [28, 29]
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      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [29, 30]
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        layer_range: [29, 30]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [30, 31]
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      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [30, 31]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [31, 32]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [31, 32]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B 
        layer_range: [32, 33]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [32, 33]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [33, 34]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [33, 34]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [34, 35]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [34, 35]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [35, 36]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [35, 36]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [36, 37]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [36, 37]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [37, 38]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [37, 38]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [38, 39]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [38, 39]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [39, 40]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [39, 40]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [40, 41]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [40, 41]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [41, 42]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [41, 42]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [42, 43]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [42, 43]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [45, 46]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [46, 47]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [47, 48]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [48, 49]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [50, 51]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [52, 53]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [52, 53]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [53, 54]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [54, 55]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [54, 55]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [55, 56]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [55, 56]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [56, 57]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
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      - model: Qwen/Qwen2.5-Math-72B
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      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
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      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [64, 65]
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      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
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      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [68, 69]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [69, 70]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [69, 70]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
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        layer_range: [70, 71]
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      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
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      - model: Qwen/Qwen2.5-Math-72B
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      - model: Qwen/Qwen2.5-Math-72B
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      - model: Qwen/Qwen2.5-Math-72B
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  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [74, 75]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
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      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [75, 76]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [76, 77]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [76, 77]
  - sources:
      - model: Qwen/Qwen2.5-Math-72B
        layer_range: [77, 78]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [77, 78]
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [77, 80]
merge_method: passthrough
dtype: float16

Downloads last month: 2

Safetensors

Model size

142B params

Tensor type

F16

Model tree for Solshine/Qwen2.5-142B-Doubled72B-Math-Instruct-Mergekit-Merge

Qwen/Qwen2.5-72B-Instruct

Qwen/Qwen2.5-Math-72B

Merge model

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