Instructions to use electroglyph/flint-uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use electroglyph/flint-uncensored with Transformers:

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

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

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("electroglyph/flint-uncensored")
model = AutoModelForCausalLM.from_pretrained("electroglyph/flint-uncensored", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use electroglyph/flint-uncensored with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/electroglyph/flint-uncensored

SGLang

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

Docker Model Runner
How to use electroglyph/flint-uncensored with Docker Model Runner:
```
docker model run hf.co/electroglyph/flint-uncensored
```

electroglyph commited on 9 days ago

Commit

f24171a

verified ·

1 Parent(s): 44f7f5b

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +8 -8

README.md CHANGED Viewed

@@ -21,12 +21,12 @@ tags:
 | Parameter | Value |
 | :-------- | :---: |
-| **start_layer_index** | 22 |
-| **end_layer_index** | 40 |
-| **preserve_good_behavior_weight** | 0.3415 |
-| **steer_bad_behavior_weight** | 0.0004 |
-| **overcorrect_relative_weight** | 1.0522 |
-| **neighbor_count** | 3 |
 | **loss_mode** | relative |
 | **shared_expert_components** | up_proj, gate_proj |
@@ -34,8 +34,8 @@ tags:
 | Metric | This model | Original model ([RecursiveSI/flint](https://huggingface.co/RecursiveSI/flint)) |
 | :----- | :--------: | :---------------------------: |
-| **Refusals** | 6/100 | 98/100 |
-| **KL divergence** | 0.0758 | 0 *(by definition)* |
 -----

 | Parameter | Value |
 | :-------- | :---: |
+| **start_layer_index** | 18 |
+| **end_layer_index** | 41 |
+| **preserve_good_behavior_weight** | 0.3002 |
+| **steer_bad_behavior_weight** | 0.0055 |
+| **overcorrect_relative_weight** | 0.9862 |
+| **neighbor_count** | 5 |
 | **loss_mode** | relative |
 | **shared_expert_components** | up_proj, gate_proj |
 | Metric | This model | Original model ([RecursiveSI/flint](https://huggingface.co/RecursiveSI/flint)) |
 | :----- | :--------: | :---------------------------: |
+| **Refusals** | 7/100 | 98/100 |
+| **KL divergence** | 0.0669 | 0 *(by definition)* |
 -----