Instructions to use nkthebass/tinybrainbot-3m-loop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nkthebass/tinybrainbot-3m-loop with Transformers:

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

pipe = pipeline("text-generation", model="nkthebass/tinybrainbot-3m-loop", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("nkthebass/tinybrainbot-3m-loop", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nkthebass/tinybrainbot-3m-loop with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nkthebass/tinybrainbot-3m-loop"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nkthebass/tinybrainbot-3m-loop",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/nkthebass/tinybrainbot-3m-loop

SGLang

How to use nkthebass/tinybrainbot-3m-loop 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 "nkthebass/tinybrainbot-3m-loop" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nkthebass/tinybrainbot-3m-loop",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "nkthebass/tinybrainbot-3m-loop" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nkthebass/tinybrainbot-3m-loop",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use nkthebass/tinybrainbot-3m-loop with Docker Model Runner:
```
docker model run hf.co/nkthebass/tinybrainbot-3m-loop
```

tinybrainbot-3m-loop / tbb_meta.json

nkthebass

TinyBrainBot-3M-Loop: 2.96M recurrent-depth model, final checkpoint

3020d73 verified 1 day ago

Raw History Blame Contribute Delete

1.08 kB

{
  "model_type": "byte-level BPE (HF tokenizers)",
  "vocab_size": 4096,
  "special_tokens": [
    "<|endoftext|>",
    "<|user|>",
    "<|assistant|>",
    "<|system|>",
    "<|end|>",
    "<think>",
    "</think>",
    "<|sep|>",
    "<|pad|>"
  ],
  "digits": "split individually",
  "normalization": "none",
  "sample_chars": 400000000,
  "sample_shares": {
    "qa-plain": 0.14100000000000001,
    "qa-distill": 0.055,
    "facts-plain": 0.041,
    "capability-distill": 0.0165,
    "reasoning-distill": 0.006500000000000001,
    "math-direct-3m": 0.19999999999999998,
    "cosmopedia-wikihow": 0.0757,
    "commonsense-distill": 0.0092,
    "procedural-anneal": 0.006900000000000001,
    "everyday-activity": 0.0045000000000000005,
    "social-situations": 0.0045000000000000005,
    "everyday-reasoning": 0.00135,
    "ds-prose": 0.00135,
    "cosmopedia-stanford": 0.12300000000000001,
    "cosmopedia-openstax": 0.027000000000000003,
    "tiny-stories-v2": 0.14150000000000001,
    "fineweb-edu-10bt": 0.09,
    "wiki-dense": 0.055
  }
}

	{
	"model_type": "byte-level BPE (HF tokenizers)",
	"vocab_size": 4096,
	"special_tokens": [
	"<\|endoftext\|>",
	"<\|user\|>",
	"<\|assistant\|>",
	"<\|system\|>",
	"<\|end\|>",
	"<think>",
	"</think>",
	"<\|sep\|>",
	"<\|pad\|>"
	],
	"digits": "split individually",
	"normalization": "none",
	"sample_chars": 400000000,
	"sample_shares": {
	"qa-plain": 0.14100000000000001,
	"qa-distill": 0.055,
	"facts-plain": 0.041,
	"capability-distill": 0.0165,
	"reasoning-distill": 0.006500000000000001,
	"math-direct-3m": 0.19999999999999998,
	"cosmopedia-wikihow": 0.0757,
	"commonsense-distill": 0.0092,
	"procedural-anneal": 0.006900000000000001,
	"everyday-activity": 0.0045000000000000005,
	"social-situations": 0.0045000000000000005,
	"everyday-reasoning": 0.00135,
	"ds-prose": 0.00135,
	"cosmopedia-stanford": 0.12300000000000001,
	"cosmopedia-openstax": 0.027000000000000003,
	"tiny-stories-v2": 0.14150000000000001,
	"fineweb-edu-10bt": 0.09,
	"wiki-dense": 0.055
	}
	}