Instructions to use Nared45/part4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nared45/part4 with Transformers:

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

pipe = pipeline("text-generation", model="Nared45/part4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nared45/part4")
model = AutoModelForCausalLM.from_pretrained("Nared45/part4")
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 Nared45/part4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nared45/part4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nared45/part4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nared45/part4

SGLang

How to use Nared45/part4 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 "Nared45/part4" \
    --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": "Nared45/part4",
		"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 "Nared45/part4" \
        --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": "Nared45/part4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Nared45/part4 with Docker Model Runner:
```
docker model run hf.co/Nared45/part4
```

Nared45 commited on Aug 9, 2024

Commit

f6baeb6

verified ·

1 Parent(s): 6c831a0

Upload LlamaForCausalLM

Browse files

Files changed (5) hide show

config.json +2 -3
generation_config.json +5 -5
model-00001-of-00003.safetensors +1 -1
model-00002-of-00003.safetensors +1 -1
model-00003-of-00003.safetensors +1 -1

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -17,14 +17,13 @@
   "num_attention_heads": 32,
   "num_hidden_layers": 32,
   "num_key_value_heads": 32,
-  "pad_token_id": 0,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float16",
-  "transformers_version": "4.42.4",
   "use_cache": true,
   "vocab_size": 32000
 }

 {
+  "_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "num_attention_heads": 32,
   "num_hidden_layers": 32,
   "num_key_value_heads": 32,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float16",
+  "transformers_version": "4.44.0",
   "use_cache": true,
   "vocab_size": 32000
 }

generation_config.json CHANGED Viewed

@@ -1,10 +1,10 @@
 {
-  "_from_model_config": true,
   "bos_token_id": 1,
   "do_sample": true,
   "eos_token_id": 2,
-  "pad_token_id": 32000,
-  "temperature": 0.9,
-  "top_p": 0.6,
-  "transformers_version": "4.42.4"
 }

 {
   "bos_token_id": 1,
   "do_sample": true,
   "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.44.0"
 }

model-00001-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ead86dc5984be9c8c0a406a839c869358dfadc59b70b3259e02f8e97b3916fc9
 size 4938985248

 version https://git-lfs.github.com/spec/v1
+oid sha256:d5b7557be6183bb5275799f85e727d2605d797b3e253d7751a7c7dd2da9c1d72
 size 4938985248

model-00002-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a5994ae569831bd5c13da986e42567b76f34a7a8e54a9f80ec8334d47c517e30
 size 4947390768

 version https://git-lfs.github.com/spec/v1
+oid sha256:560d9b96b04b30e908a7293704020a64f65ae4e8247aa907e03625698a7341ba
 size 4947390768

model-00003-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95a70ed927a311f7cd6af5a98516415480edd7989ef368065f5d54fc86b76118
 size 3590488736

 version https://git-lfs.github.com/spec/v1
+oid sha256:094d71534c17e2070769460844a6aad71e87bbacddac2f9a1f66388ed231896e
 size 3590488736