Instructions to use Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06 with Transformers:

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

pipe = pipeline("text-generation", model="Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06")
model = AutoModelForCausalLM.from_pretrained("Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06

SGLang

How to use Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06 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 "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06" \
    --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": "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06",
		"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 "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06" \
        --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": "Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06 with Docker Model Runner:
```
docker model run hf.co/Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.06
```

Neelectric commited on Apr 21

Commit

c94d4e0

verified ·

1 Parent(s): 6a9b064

Model save

Browse files

Files changed (5) hide show

.gitattributes +1 -0
all_results.json +8 -0
generation_config.json +1 -6
train_results.json +8 -0
trainer_state.json +3 -0

.gitattributes CHANGED Viewed

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text

 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+trainer_state.json filter=lfs diff=lfs merge=lfs -text

all_results.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+    "total_flos": 4.901208808529225e+19,
+    "train_loss": 0.6562395163813363,
+    "train_runtime": 67493.6677,
+    "train_samples": 125770,
+    "train_samples_per_second": 5.59,
+    "train_steps_per_second": 0.349
+}

generation_config.json CHANGED Viewed

@@ -1,12 +1,7 @@
 {
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   "do_sample": true,
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   "pad_token_id": 128009,
   "temperature": 0.6,
   "top_p": 0.9,

 {
   "bos_token_id": 128000,
   "do_sample": true,
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   "pad_token_id": 128009,
   "temperature": 0.6,
   "top_p": 0.9,

train_results.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+    "total_flos": 4.901208808529225e+19,
+    "train_loss": 0.6562395163813363,
+    "train_runtime": 67493.6677,
+    "train_samples": 125770,
+    "train_samples_per_second": 5.59,
+    "train_steps_per_second": 0.349
+}

trainer_state.json ADDED Viewed

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