Instructions to use AlSamCur123/Nemo-InstructContinuedFine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlSamCur123/Nemo-InstructContinuedFine with Transformers:

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

pipe = pipeline("text-generation", model="AlSamCur123/Nemo-InstructContinuedFine")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlSamCur123/Nemo-InstructContinuedFine")
model = AutoModelForCausalLM.from_pretrained("AlSamCur123/Nemo-InstructContinuedFine")
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

vLLM

How to use AlSamCur123/Nemo-InstructContinuedFine with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlSamCur123/Nemo-InstructContinuedFine"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlSamCur123/Nemo-InstructContinuedFine",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AlSamCur123/Nemo-InstructContinuedFine

SGLang

How to use AlSamCur123/Nemo-InstructContinuedFine 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 "AlSamCur123/Nemo-InstructContinuedFine" \
    --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": "AlSamCur123/Nemo-InstructContinuedFine",
		"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 "AlSamCur123/Nemo-InstructContinuedFine" \
        --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": "AlSamCur123/Nemo-InstructContinuedFine",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio new

How to use AlSamCur123/Nemo-InstructContinuedFine with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlSamCur123/Nemo-InstructContinuedFine to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlSamCur123/Nemo-InstructContinuedFine to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlSamCur123/Nemo-InstructContinuedFine to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="AlSamCur123/Nemo-InstructContinuedFine",
    max_seq_length=2048,
)

Docker Model Runner
How to use AlSamCur123/Nemo-InstructContinuedFine with Docker Model Runner:
```
docker model run hf.co/AlSamCur123/Nemo-InstructContinuedFine
```

AlSamCur123 commited on Dec 15, 2024

Commit

73952c6

verified ·

1 Parent(s): f2f568b

Trained with Unsloth

Browse files

Files changed (5) hide show

model-00001-of-00005.safetensors +1 -1
model-00002-of-00005.safetensors +1 -1
model-00003-of-00005.safetensors +1 -1
model-00004-of-00005.safetensors +1 -1
model-00005-of-00005.safetensors +1 -1

model-00001-of-00005.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6602ade2fd03a6d762aff2cffd40f6555f6e4aefdbbcc2959fef56adb91570e
 size 4865522496

 version https://git-lfs.github.com/spec/v1
+oid sha256:2d0768223773f6bde9760f7c714c8709cc48b9f9b42a23856ae8249c0fd3e65a
 size 4865522496

model-00002-of-00005.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9dad8bb5f9554febbad622a41114efebc564121666de977f7ed70ed9495396a5
 size 4907529424

 version https://git-lfs.github.com/spec/v1
+oid sha256:a09b937a98055a6d8eb78ef8fef7a4e350827731f11cb2e849fa3ead4cca10a4
 size 4907529424

model-00003-of-00005.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1130f29045f649385fc7dbd3a548ffba338722e0ea153f2d2e4e8a2ed9897045
 size 4907529456

 version https://git-lfs.github.com/spec/v1
+oid sha256:91c4ef05d56503b3633959f28a28882549c12b964eb18713edb91a70f689e992
 size 4907529456

model-00004-of-00005.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7e90acb825149641e5d08bd0186eea9ab4de2ded715ced2dbf87e271c38a16b
 size 4907529456

 version https://git-lfs.github.com/spec/v1
+oid sha256:5a708db767f4523871a1141cfe15affd75e71863897c7774b9f02aa7e0c545ce
 size 4907529456

model-00005-of-00005.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b1f9761c00fe914df6f231ab92ca86eef31d56f21c907026064f8aab0aa0e719
 size 4907496272

 version https://git-lfs.github.com/spec/v1
+oid sha256:8d6649b24fa052c9bacbb6f155fc5228fa3a355abdc775dd938f27c01c5cdb32
 size 4907496272