Instructions to use not-lain/Finetuned_TinyLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use not-lain/Finetuned_TinyLlama with Transformers:

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

pipe = pipeline("text-generation", model="not-lain/Finetuned_TinyLlama")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("not-lain/Finetuned_TinyLlama")
model = AutoModelForCausalLM.from_pretrained("not-lain/Finetuned_TinyLlama")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use not-lain/Finetuned_TinyLlama with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "not-lain/Finetuned_TinyLlama"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "not-lain/Finetuned_TinyLlama",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/not-lain/Finetuned_TinyLlama

SGLang

How to use not-lain/Finetuned_TinyLlama 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 "not-lain/Finetuned_TinyLlama" \
    --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": "not-lain/Finetuned_TinyLlama",
		"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 "not-lain/Finetuned_TinyLlama" \
        --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": "not-lain/Finetuned_TinyLlama",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use not-lain/Finetuned_TinyLlama with Docker Model Runner:
```
docker model run hf.co/not-lain/Finetuned_TinyLlama
```

Update README.md

by nroggendorff - opened May 31, 2024

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-16

Files changed (1) hide show

README.md +7 -16

README.md CHANGED Viewed

@@ -9,27 +9,18 @@ model-index:
 - name: Finetuned_TineyLlama
   results: []
 ---
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-# Finetuned_TineyLlama
 This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
 ## Model description
-More information needed
-## Intended uses & limitations
-More information needed
-## Training and evaluation data
-More information needed
-## Training procedure
 ### Training hyperparameters
@@ -44,11 +35,11 @@ The following hyperparameters were used during training:
 ### Training results
 ### Framework versions
 - Transformers 4.41.1
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.1
-- Tokenizers 0.19.1

 - name: Finetuned_TineyLlama
   results: []
 ---
+# Finetuned_TinyLlama
 This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
 ## Model description
+This model was made with [this tutorial by Noa](https://huggingface.co/blog/nroggendorff/finetune-tinyllama), you can find a more complete model and demo at [nroggendorff/mayo](https://huggingface.co/spaces/nroggendorff/mayo)
+## Limitations
+- The model is easily gaslit
+- It is uncensored, and there are no safety features.
 ### Training hyperparameters
 ### Training results
+- training_loss=2.0859998975481306
 ### Framework versions
 - Transformers 4.41.1
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.1
+- Tokenizers 0.19.1