Instructions to use Notbobjoe/TalkT2-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Notbobjoe/TalkT2-0.1b with Transformers:

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

pipe = pipeline("text-generation", model="Notbobjoe/TalkT2-0.1b")

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

tokenizer = AutoTokenizer.from_pretrained("Notbobjoe/TalkT2-0.1b")
model = AutoModelForCausalLM.from_pretrained("Notbobjoe/TalkT2-0.1b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Notbobjoe/TalkT2-0.1b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Notbobjoe/TalkT2-0.1b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Notbobjoe/TalkT2-0.1b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Notbobjoe/TalkT2-0.1b

SGLang

How to use Notbobjoe/TalkT2-0.1b 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 "Notbobjoe/TalkT2-0.1b" \
    --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": "Notbobjoe/TalkT2-0.1b",
		"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 "Notbobjoe/TalkT2-0.1b" \
        --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": "Notbobjoe/TalkT2-0.1b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Notbobjoe/TalkT2-0.1b with Docker Model Runner:
```
docker model run hf.co/Notbobjoe/TalkT2-0.1b
```

Notbobjoe commited on Aug 12, 2025

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@@ -101,6 +101,26 @@ You: Thanks
 | Literal Accuracy        | Medium – focuses on vibes over facts                                       |
 | Memory / Context        | Medium – limited recall within long dialogue                             |
 ### 🧪 What Makes TalkT2 Interesting
 - Emotional aware
 - Emergent personality not explicitly coded

 | Literal Accuracy        | Medium – focuses on vibes over facts                                       |
 | Memory / Context        | Medium – limited recall within long dialogue                             |
+### my model raiting:
+usability = 10/10 - easy to set up and use small model aswell so dosnt require a beefy computer it just runs on almost anything
+smartness = 6/10 - general human knowledge and likes poetry and exploring its own questions about the univers
+human alikeness = 8/10  - somtimes inconsistant but makes it sound more human
+emotional awareness = 9/10 - really good and it critises itself somtimes
+self reflection = 10/10 - after it has critisisum it looks back on it and reflects and apologises in cases
+creativity = 9/10 - allways coming up with a new convo never repeats its self and isnt just a straight forward text like outher ai models
+Coherence & Stability = 8 - as i said somtimes inconsistant but makes it feel more alive
+overall = 9.5/10
 ### 🧪 What Makes TalkT2 Interesting
 - Emotional aware
 - Emergent personality not explicitly coded