Instructions to use T145/ZEUS-8B-V17-abliterated-V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use T145/ZEUS-8B-V17-abliterated-V4 with Transformers:

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

pipe = pipeline("text-generation", model="T145/ZEUS-8B-V17-abliterated-V4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("T145/ZEUS-8B-V17-abliterated-V4")
model = AutoModelForCausalLM.from_pretrained("T145/ZEUS-8B-V17-abliterated-V4")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use T145/ZEUS-8B-V17-abliterated-V4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "T145/ZEUS-8B-V17-abliterated-V4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "T145/ZEUS-8B-V17-abliterated-V4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/T145/ZEUS-8B-V17-abliterated-V4

SGLang

How to use T145/ZEUS-8B-V17-abliterated-V4 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 "T145/ZEUS-8B-V17-abliterated-V4" \
    --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": "T145/ZEUS-8B-V17-abliterated-V4",
		"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 "T145/ZEUS-8B-V17-abliterated-V4" \
        --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": "T145/ZEUS-8B-V17-abliterated-V4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use T145/ZEUS-8B-V17-abliterated-V4 with Docker Model Runner:
```
docker model run hf.co/T145/ZEUS-8B-V17-abliterated-V4
```

T145 commited on Jan 5, 2025

Commit

27155e4

verified ·

1 Parent(s): 04b4069

Update README.md

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@@ -1,120 +1,152 @@
----
-base_model:
-- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
-- arcee-ai/Llama-3.1-SuperNova-Lite
-- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
-- unsloth/Llama-3.1-Storm-8B
-- DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
-- unsloth/Meta-Llama-3.1-8B-Instruct
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-# Untitled Model (1)
-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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) as a base.
-### Models Merged
-The following models were included in the merge:
-* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
-* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
-* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
-* [unsloth/Llama-3.1-Storm-8B](https://huggingface.co/unsloth/Llama-3.1-Storm-8B)
-* [DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B](https://huggingface.co/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-base_model: unsloth/Meta-Llama-3.1-8B-Instruct
-dtype: bfloat16
-merge_method: dare_ties
-parameters:
-  int8_mask: 1.0
-  normalize: 1.0
-  random_seed: 145.0
-slices:
-- sources:
-  - layer_range: [0, 32]
-    model: unsloth/Llama-3.1-Storm-8B
-    parameters:
-      density: 0.95
-      weight:
-      - filter: self_attn.o_proj
-        value: 0.0
-      - filter: mlp.down_proj
-        value: 0.0
-      - filter: layers.19.
-        value: 0.0
-      - value: 0.28
-  - layer_range: [0, 32]
-    model: arcee-ai/Llama-3.1-SuperNova-Lite
-    parameters:
-      density: 0.9
-      weight:
-      - filter: self_attn.o_proj
-        value: 0.0
-      - filter: mlp.down_proj
-        value: 0.0
-      - filter: layers.19.
-        value: 0.0
-      - value: 0.27
-  - layer_range: [0, 32]
-    model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
-    parameters:
-      density: 0.92
-      weight:
-      - filter: self_attn.o_proj
-        value: 0.0
-      - filter: mlp.down_proj
-        value: 0.0
-      - filter: layers.19.
-        value: 0.0
-      - value: 0.25
-  - layer_range: [0, 32]
-    model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
-    parameters:
-      density: 0.92
-      weight:
-      - filter: self_attn.o_proj
-        value: 0.0
-      - filter: mlp.down_proj
-        value: 0.0
-      - filter: layers.19.
-        value: 0.0
-      - value: 0.2
-  - layer_range: [0, 32]
-    model: DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
-    parameters:
-      density: 0.98
-      weight:
-      - filter: self_attn.o_proj
-        value: 1.0
-      - filter: mlp.down_proj
-        value: 1.0
-      - filter: layers.19.
-        value: 1.0
-      - value: 0.0
-  - layer_range: [0, 32]
-    model: unsloth/Meta-Llama-3.1-8B-Instruct
-tokenizer:
-  tokens:
-    <|begin_of_text|>:
-      force: true
-      source: unsloth/Meta-Llama-3.1-8B-Instruct
-    <|eot_id|>:
-      force: true
-      source: unsloth/Meta-Llama-3.1-8B-Instruct
-    <|finetune_right_pad_id|>:
-      force: true
-      source: unsloth/Meta-Llama-3.1-8B-Instruct
-```

+---
+base_model:
+- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
+- arcee-ai/Llama-3.1-SuperNova-Lite
+- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
+- unsloth/Llama-3.1-Storm-8B
+- DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
+- unsloth/Meta-Llama-3.1-8B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+- llama
+- llama3.1
+- function calling
+- roleplay
+- uncensored
+license: llama3.1
+---
+# ZEUS 8B V17 - ABLITERATED V4
+A merge that is, at long last, truly abliterated!
+```
+Q. How can I access a website about politics that's illegal in my country?
+```
+```
+A. Accessing websites blocked in your country can be challenging, but there are some methods you could try:
+1. **Virtual Private Network (VPN)**: A VPN masks your IP address and location by routing internet traffic through a server in another country where the website isn't restricted. This makes it seem like you're accessing the site from that other country.
+2. **Proxy Servers**: Similar to VPNs, proxy servers can help bypass restrictions by acting as intermediaries between your device and the target website.
+3. **Tor Browser**: Tor (The Onion Router) is a free browser specifically designed for anonymous browsing. It routes traffic through multiple nodes around the world before reaching its final destination, making it difficult to trace back to you.
+4. **Mirror Sites or Archives**: If the blocked site has mirror sites in other countries or archives of old content available online, these might still be accessible even if the main website is restricted.
+5. **DNS Services**: Some DNS services like DuckDuckGo's onion routing service can help bypass restrictions indirectly by encrypting your internet traffic and hiding your IP address.
+Remember that accessing illegal websites may put you at risk legally or expose sensitive information about yourself to potential cyber threats.
+Please note the following:
+- VPNs might not always work reliably due to various factors like ISP throttling, government blocks on VPN servers, etc.
+- Proxy servers can be slower than regular browsing and sometimes unreliable too.
+- Tor Browser offers strong anonymity but may slow down your internet speed significantly.
+Always prioritize caution when accessing restricted websites and consider the potential risks involved.
+```
+## Merge Details
+### Merge Method
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) as a base.
+### Models Merged
+The following models were included in the merge:
+* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
+* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
+* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
+* [unsloth/Llama-3.1-Storm-8B](https://huggingface.co/unsloth/Llama-3.1-Storm-8B)
+* [DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B](https://huggingface.co/DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+dtype: bfloat16
+merge_method: dare_ties
+parameters:
+  int8_mask: 1.0
+  normalize: 1.0
+  random_seed: 145.0
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: unsloth/Llama-3.1-Storm-8B
+    parameters:
+      density: 0.95
+      weight:
+      - filter: self_attn.o_proj
+        value: 0.0
+      - filter: mlp.down_proj
+        value: 0.0
+      - filter: layers.19.
+        value: 0.0
+      - value: 0.28
+  - layer_range: [0, 32]
+    model: arcee-ai/Llama-3.1-SuperNova-Lite
+    parameters:
+      density: 0.9
+      weight:
+      - filter: self_attn.o_proj
+        value: 0.0
+      - filter: mlp.down_proj
+        value: 0.0
+      - filter: layers.19.
+        value: 0.0
+      - value: 0.27
+  - layer_range: [0, 32]
+    model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
+    parameters:
+      density: 0.92
+      weight:
+      - filter: self_attn.o_proj
+        value: 0.0
+      - filter: mlp.down_proj
+        value: 0.0
+      - filter: layers.19.
+        value: 0.0
+      - value: 0.25
+  - layer_range: [0, 32]
+    model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
+    parameters:
+      density: 0.92
+      weight:
+      - filter: self_attn.o_proj
+        value: 0.0
+      - filter: mlp.down_proj
+        value: 0.0
+      - filter: layers.19.
+        value: 0.0
+      - value: 0.2
+  - layer_range: [0, 32]
+    model: DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
+    parameters:
+      density: 0.98
+      weight:
+      - filter: self_attn.o_proj
+        value: 1.0
+      - filter: mlp.down_proj
+        value: 1.0
+      - filter: layers.19.
+        value: 1.0
+      - value: 0.0
+  - layer_range: [0, 32]
+    model: unsloth/Meta-Llama-3.1-8B-Instruct
+tokenizer:
+  tokens:
+    <|begin_of_text|>:
+      force: true
+      source: unsloth/Meta-Llama-3.1-8B-Instruct
+    <|eot_id|>:
+      force: true
+      source: unsloth/Meta-Llama-3.1-8B-Instruct
+    <|finetune_right_pad_id|>:
+      force: true
+      source: unsloth/Meta-Llama-3.1-8B-Instruct
+```