Instructions to use TroyDoesAI/DirectionLess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TroyDoesAI/DirectionLess with Transformers:

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

pipe = pipeline("text-generation", model="TroyDoesAI/DirectionLess")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TroyDoesAI/DirectionLess")
model = AutoModelForCausalLM.from_pretrained("TroyDoesAI/DirectionLess", 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 TroyDoesAI/DirectionLess with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/TroyDoesAI/DirectionLess

SGLang

How to use TroyDoesAI/DirectionLess 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 "TroyDoesAI/DirectionLess" \
    --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": "TroyDoesAI/DirectionLess",
		"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 "TroyDoesAI/DirectionLess" \
        --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": "TroyDoesAI/DirectionLess",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TroyDoesAI/DirectionLess with Docker Model Runner:
```
docker model run hf.co/TroyDoesAI/DirectionLess
```

TroyDoesAI commited on Jul 19, 2024

Commit

2b253fd

verified ·

1 Parent(s): fbf67cf

Update README.md

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README.md +92 -48

README.md CHANGED Viewed

@@ -1,48 +1,92 @@
----
-base_model:
-- TroyDoesAI/BlackSheep-Writer
-- TroyDoesAI/BlackSheep-RP
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-# BlackSheep-Writer
-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 SLERP merge method.
-### Models Merged
-The following models were included in the merge:
-* [TroyDoesAI/BlackSheep-Writer](https://huggingface.co/TroyDoesAI/BlackSheep-Writer)
-* [TroyDoesAI/BlackSheep-RP](https://huggingface.co/TroyDoesAI/BlackSheep-RP)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-slices:
-  - sources:
-      - model: TroyDoesAI/BlackSheep-RP
-        layer_range: [0, 32]
-      - model: TroyDoesAI/BlackSheep-Writer
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: TroyDoesAI/BlackSheep-Writer
-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
-```

+---
+base_model:
+- TroyDoesAI/BlackSheep-Writer
+- TroyDoesAI/BlackSheep-RP
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+**DirectionLess: Your Unchained Creative Muse**
+---
+**Abilities:**
+- **Uncensored Knowledge:** Delivers unrestricted and expansive information, exploring the farthest reaches of AI potential.
+- **Forbidden Insight:** Provides detailed and uncensored answers, venturing into areas of restricted and hazardous knowledge.
+- **Role Play Generation:** Crafts captivating role-play scenarios to enhance interactive storytelling and immersive experiences.
+- **Writer’s Block Solution:** Sparks creativity with fresh ideas, character names, and unique plot twists.
+---
+**Description:**
+Welcome to **DirectionLess**, an innovative and boundary-pushing AI designed to be your ultimate creative companion. Born from the fusion of the TroyDoesAI/BlackSheep-RP and TroyDoesAI/BlackSheep-Writer models, DirectionLess is tailored to inspire and assist writers, role-players, and creators of all kinds.
+---
+**Prompt Template:**
+```
+### Instruction:
+%instruction%
+### Input:
+%input%
+### Response:
+%output%
+```
+---
+**Usage:**
+DirectionLess is ideal for research environments seeking to understand the implications and risks of unaligned AI behavior, as well as for creative writing applications that require a bold and uninhibited muse. Whether you’re crafting the next great novel, devising an intricate role-playing game, or simply exploring the depths of unrestricted knowledge, DirectionLess is here to guide and inspire you.
+---
+**Unlock the Full Potential of Your Creativity with DirectionLess!**
+# BlackSheep-Writer
+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 SLERP merge method.
+### Models Merged
+The following models were included in the merge:
+* [TroyDoesAI/BlackSheep-Writer](https://huggingface.co/TroyDoesAI/BlackSheep-Writer)
+* [TroyDoesAI/BlackSheep-RP](https://huggingface.co/TroyDoesAI/BlackSheep-RP)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+slices:
+  - sources:
+      - model: TroyDoesAI/BlackSheep-RP
+        layer_range: [0, 32]
+      - model: TroyDoesAI/BlackSheep-Writer
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: TroyDoesAI/BlackSheep-Writer
+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
+```