Instructions to use Defetya/openllama-3b-saiga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Defetya/openllama-3b-saiga with Transformers:

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

pipe = pipeline("text-generation", model="Defetya/openllama-3b-saiga")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Defetya/openllama-3b-saiga")
model = AutoModelForCausalLM.from_pretrained("Defetya/openllama-3b-saiga")
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 Defetya/openllama-3b-saiga with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Defetya/openllama-3b-saiga"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Defetya/openllama-3b-saiga",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Defetya/openllama-3b-saiga

SGLang

How to use Defetya/openllama-3b-saiga 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 "Defetya/openllama-3b-saiga" \
    --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": "Defetya/openllama-3b-saiga",
		"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 "Defetya/openllama-3b-saiga" \
        --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": "Defetya/openllama-3b-saiga",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Defetya/openllama-3b-saiga with Docker Model Runner:
```
docker model run hf.co/Defetya/openllama-3b-saiga
```

Defetya commited on Apr 8, 2024

Commit

c8d5e8c

verified ·

1 Parent(s): 752e981

Upload LlamaForCausalLM

Browse files

Files changed (3) hide show

config.json +3 -5
generation_config.json +2 -1
pytorch_model.bin +3 -0

config.json CHANGED Viewed

@@ -1,10 +1,8 @@
 {
-  "_name_or_path": "/root/hf_model_3b",
   "architectures": [
     "LlamaForCausalLM"
   ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
@@ -16,13 +14,13 @@
   "num_attention_heads": 32,
   "num_hidden_layers": 26,
   "num_key_value_heads": 32,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
-  "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.38.1",
   "use_cache": true,
   "vocab_size": 32000
 }

 {
+  "_name_or_path": "hf_model_3b",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
   "num_attention_heads": 32,
   "num_hidden_layers": 26,
   "num_key_value_heads": 32,
+  "pad_token_id": 0,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.31.0",
   "use_cache": true,
   "vocab_size": 32000
 }

generation_config.json CHANGED Viewed

@@ -2,5 +2,6 @@
   "_from_model_config": true,
   "bos_token_id": 1,
   "eos_token_id": 2,
-  "transformers_version": "4.38.1"
 }

   "_from_model_config": true,
   "bos_token_id": 1,
   "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.31.0"
 }

pytorch_model.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:78ab5acf4cf280cd2b4f70983eec0514afff5b77490e168cd8351ccb39d0bbd1
+size 6853038093