Instructions to use anonymous-bird-72/Ouro-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anonymous-bird-72/Ouro-2.6B with Transformers:

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

pipe = pipeline("text-generation", model="anonymous-bird-72/Ouro-2.6B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("anonymous-bird-72/Ouro-2.6B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use anonymous-bird-72/Ouro-2.6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "anonymous-bird-72/Ouro-2.6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "anonymous-bird-72/Ouro-2.6B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/anonymous-bird-72/Ouro-2.6B

SGLang

How to use anonymous-bird-72/Ouro-2.6B 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 "anonymous-bird-72/Ouro-2.6B" \
    --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": "anonymous-bird-72/Ouro-2.6B",
		"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 "anonymous-bird-72/Ouro-2.6B" \
        --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": "anonymous-bird-72/Ouro-2.6B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use anonymous-bird-72/Ouro-2.6B with Docker Model Runner:
```
docker model run hf.co/anonymous-bird-72/Ouro-2.6B
```

Ouro-2.6B / tokenizer_config.json

anonymous-bird-72

Update tokenizer_config.json

0a6de72 verified 23 days ago

Raw History Blame

4.42 kB

	{
	"add_prefix_space": false,
	"added_tokens_decoder": {
	"0": {
	"content": "<\|endoftext\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<\|im_start\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "<\|im_end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"3": {
	"content": "<think>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"4": {
	"content": "</think>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"5": {
	"content": "<file_sep>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"6": {
	"content": "<filename>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"7": {
	"content": "<gh_stars>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"8": {
	"content": "<issue_start>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"9": {
	"content": "<issue_comment>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"10": {
	"content": "<issue_closed>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"11": {
	"content": "<jupyter_start>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"12": {
	"content": "<jupyter_text>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"13": {
	"content": "<jupyter_code>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"14": {
	"content": "<jupyter_output>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"15": {
	"content": "<jupyter_script>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"16": {
	"content": "<empty_output>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": [
	"<\|endoftext\|>",
	"<\|im_start\|>",
	"<\|im_end\|>",
	"<think>",
	"</think>",
	"<file_sep>",
	"<filename>",
	"<gh_stars>",
	"<issue_start>",
	"<issue_comment>",
	"<issue_closed>",
	"<jupyter_start>",
	"<jupyter_text>",
	"<jupyter_code>",
	"<jupyter_output>",
	"<jupyter_script>",
	"<empty_output>"
	],
	"bos_token": "<\|im_start\|>",
	"clean_up_tokenization_spaces": false,
	"chat_template": "{%- if messages[0]['role'] == 'system' -%}\n{{- '<\|im_start\|>system\n' + messages[0]['content'] + '<\|im_end\|>\n' }}\n{%- else -%}\n{{- '<\|im_start\|>system\nYou are a helpful assistant.<\|im_end\|>\n' }}\n{%- endif -%}\n{%- for message in messages -%}\n{%- if message['role'] == 'system' and loop.first -%}\n{# Skip #}\n{%- elif message['role'] == 'assistant' -%}\n{{- '<\|im_start\|>assistant\n' }}{% generation %}{{- message['content'] }}{% endgeneration %}{{- '<\|im_end\|>\n' }}\n{%- else -%}\n{{- '<\|im_start\|>' + message['role'] + '\n' + message['content'] + '<\|im_end\|>\n' }}\n{%- endif -%}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n{{- '<\|im_start\|>assistant\n' }}\n{%- endif -%}\n",
	"eos_token": "<\|im_end\|>",
	"extra_special_tokens": {},
	"model_max_length": 131072,
	"tokenizer_class": "GPT2Tokenizer",
	"unk_token": "<\|endoftext\|>",
	"vocab_size": 49152,
	"pad_token": "<\|endoftext\|>"
	}