Instructions to use TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B with Transformers:

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

pipe = pipeline("text-generation", model="TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B")
model = AutoModelForCausalLM.from_pretrained("TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B")
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 TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B

SGLang

How to use TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B 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 "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B" \
    --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": "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B",
		"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 "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B" \
        --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": "TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B with Docker Model Runner:
```
docker model run hf.co/TareksTesting/Dungeonmaster-Expanded-R1-LLaMa-70B
```

Tarek07 commited on Mar 5, 2025

Commit

65df0c9

verified ·

1 Parent(s): 9a0e3a7

Update README.md

Browse files

Files changed (1) hide show

README.md +27 -19

README.md CHANGED Viewed

@@ -1,11 +1,19 @@
 ---
-base_model: []
 library_name: transformers
 tags:
 - mergekit
 - merge
 ---
 # Della
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
@@ -13,18 +21,18 @@ This is a merge of pre-trained language models created using [mergekit](https://
 ## Merge Details
 ### Merge Method
-This model was merged using the [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using downloads/Genesis-R1-L3.3-70B as a base.
 ### Models Merged
 The following models were included in the merge:
-* downloads/Llama-3.3-70B-ArliAI-RPMax-v1.4
-* downloads/Negative_LLAMA_70B
-* downloads/Wayfarer-Large-70B-Llama-3.3
-* downloads/Anubis-70B-v1
-* downloads/Fallen-Llama-3.3-R1-70B-v1
-* downloads/70B-L3.3-mhnnn-x1
-* downloads/EVA-LLaMA-3.33-70B-v0.1
 ### Configuration
@@ -32,16 +40,16 @@ The following YAML configuration was used to produce this model:
 ```yaml
 models:
-  - model: downloads/Wayfarer-Large-70B-Llama-3.3
-  - model: downloads/Llama-3.3-70B-ArliAI-RPMax-v1.4
-  - model: downloads/70B-L3.3-mhnnn-x1
-  - model: downloads/Anubis-70B-v1
-  - model: downloads/EVA-LLaMA-3.33-70B-v0.1
-  - model: downloads/Negative_LLAMA_70B
-  - model: downloads/Fallen-Llama-3.3-R1-70B-v1
 merge_method: della_linear
 chat_template: llama3
-base_model: downloads/Genesis-R1-L3.3-70B
 parameters:
   weight: 0.14
   density: 0.7
@@ -50,5 +58,5 @@ parameters:
   normalize: true
 dtype: bfloat16
 tokenizer:
- source: downloads/Genesis-R1-L3.3-70B
 ```

 ---
+base_model:
+- ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
+- SicariusSicariiStuff/Negative_LLAMA_70B
+- LatitudeGames/Wayfarer-Large-70B-Llama-3.3
+- TheDrummer/Anubis-70B-v1
+- TheDrummer/Fallen-Llama-3.3-R1-70B-v1
+- TareksLab/Genesis-R1-L3.3-70B
+- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
 library_name: transformers
 tags:
 - mergekit
 - merge
+license: llama3.3
 ---
+My ideal vision for Dungeonmaster were these 7 models. However I was concerned about that many models in one single. I decided to try both and see...
 # Della
 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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using TareksLab/Genesis-R1-L3.3-70B as a base.
 ### Models Merged
 The following models were included in the merge:
+* ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
+* SicariusSicariiStuff/Negative_LLAMA_70B
+* LatitudeGames/Wayfarer-Large-70B-Llama-3.3
+* TheDrummer/Anubis-70B-v1
+* TheDrummer/Fallen-Llama-3.3-R1-70B-v1
+* TareksLab/Genesis-R1-L3.3-70B
+* EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
 ### Configuration
 ```yaml
 models:
+  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
+  - model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
+  - model: Sao10K/70B-L3.3-mhnnn-x1
+  - model: TheDrummer/Anubis-70B-v1
+  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+  - model: SicariusSicariiStuff/Negative_LLAMA_70B
+  - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
 merge_method: della_linear
 chat_template: llama3
+base_model: TareksLab/Genesis-R1-L3.3-70B
 parameters:
   weight: 0.14
   density: 0.7
   normalize: true
 dtype: bfloat16
 tokenizer:
+ source: TareksLab/Genesis-R1-L3.3-70B
 ```