Instructions to use ashishnair/Llama-Ione-8B-roleplay-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ashishnair/Llama-Ione-8B-roleplay-v1 with Transformers:

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

pipe = pipeline("text-generation", model="ashishnair/Llama-Ione-8B-roleplay-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ashishnair/Llama-Ione-8B-roleplay-v1")
model = AutoModelForCausalLM.from_pretrained("ashishnair/Llama-Ione-8B-roleplay-v1")
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
Local Apps Settings

vLLM

How to use ashishnair/Llama-Ione-8B-roleplay-v1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ashishnair/Llama-Ione-8B-roleplay-v1

SGLang

How to use ashishnair/Llama-Ione-8B-roleplay-v1 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 "ashishnair/Llama-Ione-8B-roleplay-v1" \
    --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": "ashishnair/Llama-Ione-8B-roleplay-v1",
		"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 "ashishnair/Llama-Ione-8B-roleplay-v1" \
        --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": "ashishnair/Llama-Ione-8B-roleplay-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ashishnair/Llama-Ione-8B-roleplay-v1 with Docker Model Runner:
```
docker model run hf.co/ashishnair/Llama-Ione-8B-roleplay-v1
```

ashishnair commited on Apr 9

Commit

8f0c70e

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@@ -312,16 +312,6 @@ Full bfloat16: 16 GB VRAM recommended.
 This model is governed by the [Meta Llama 3.1 Community License](https://llama.com/llama3_1/license/).
-**Requirements:**
-- Include "Llama" at the beginning of any distributed derivative model name
-- Display "Built with Llama" on any website, UI, or documentation where the model is used
-- Include a `NOTICE` file and copy of the license with all distributed weights
-**Prohibited:**
-- Deploying this model in products where end users are unaware they are interacting with an AI
-- Using this model or its outputs to train any non-Llama AI model
-- Exceeding 700M monthly active users without a separate Meta commercial license
 See `USE_POLICY.md` in this repository for Meta's full Acceptable Use Policy.
 ---
@@ -329,11 +319,11 @@ See `USE_POLICY.md` in this repository for Meta's full Acceptable Use Policy.
 ## Citation
 ```bibtex
-@misc{ione2025,
   author       = {Ashish Nair},
   title        = {Llama-Ione-8B-roleplay-v1: A character-grounded
                   conversational language model},
-  year         = {2025},
   howpublished = {\url{https://huggingface.co/ashishnair/Llama-Ione-8B-roleplay-v1}},
   note         = {Built with Llama · DARE-TIES merge · 3-stage SFT pipeline}
 }

 This model is governed by the [Meta Llama 3.1 Community License](https://llama.com/llama3_1/license/).
 See `USE_POLICY.md` in this repository for Meta's full Acceptable Use Policy.
 ---
 ## Citation
 ```bibtex
+@misc{ione2026,
   author       = {Ashish Nair},
   title        = {Llama-Ione-8B-roleplay-v1: A character-grounded
                   conversational language model},
+  year         = {2026},
   howpublished = {\url{https://huggingface.co/ashishnair/Llama-Ione-8B-roleplay-v1}},
   note         = {Built with Llama · DARE-TIES merge · 3-stage SFT pipeline}
 }