Instructions to use steerapi/Llama-2-7b-chat-hf-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use steerapi/Llama-2-7b-chat-hf-onnx with Transformers:

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

pipe = pipeline("text-generation", model="steerapi/Llama-2-7b-chat-hf-onnx")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("steerapi/Llama-2-7b-chat-hf-onnx")
model = AutoModelForCausalLM.from_pretrained("steerapi/Llama-2-7b-chat-hf-onnx", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use steerapi/Llama-2-7b-chat-hf-onnx with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "steerapi/Llama-2-7b-chat-hf-onnx"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "steerapi/Llama-2-7b-chat-hf-onnx",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/steerapi/Llama-2-7b-chat-hf-onnx

SGLang

How to use steerapi/Llama-2-7b-chat-hf-onnx 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 "steerapi/Llama-2-7b-chat-hf-onnx" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "steerapi/Llama-2-7b-chat-hf-onnx",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "steerapi/Llama-2-7b-chat-hf-onnx" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "steerapi/Llama-2-7b-chat-hf-onnx",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use steerapi/Llama-2-7b-chat-hf-onnx with Docker Model Runner:
```
docker model run hf.co/steerapi/Llama-2-7b-chat-hf-onnx
```

steerapi commited on Aug 8, 2023

Commit

6bc6a32

1 Parent(s): 8d2a77c

Upload folder using huggingface_hub

Browse files

Files changed (5) hide show

.ipynb_checkpoints/ort_config-checkpoint.json +35 -0
config.json +2 -1
onnx/decoder_model_merged_quantized.onnx +2 -2
onnx/decoder_model_merged_quantized.onnx_data +1 -1
onnx/ort_config.json +35 -0

.ipynb_checkpoints/ort_config-checkpoint.json ADDED Viewed

	@@ -0,0 +1,35 @@

+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "optimum_version": "1.11.0",
+  "quantization": {
+    "activations_dtype": "QUInt8",
+    "activations_symmetric": false,
+    "format": "QDQ",
+    "is_static": false,
+    "mode": "IntegerOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "Conv",
+      "MatMul",
+      "Attention",
+      "LSTM",
+      "Gather",
+      "Transpose",
+      "EmbedLayerNormalization"
+    ],
+    "per_channel": true,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
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+    "reduce_range": false,
+    "weights_dtype": "QInt8",
+    "weights_symmetric": true
+  },
+  "transformers_version": "4.29.0.dev0",
+  "use_external_data_format": true
+}

config.json CHANGED Viewed

@@ -19,7 +19,8 @@
   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
   "tie_word_embeddings": false,
-  "transformers_version": "4.31.0",
   "use_cache": true,
   "vocab_size": 32000
 }

   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
   "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.29.0.dev0",
   "use_cache": true,
   "vocab_size": 32000
 }

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onnx/ort_config.json ADDED Viewed

	@@ -0,0 +1,35 @@

+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "optimum_version": "1.11.0",
+  "quantization": {
+    "activations_dtype": "QUInt8",
+    "activations_symmetric": false,
+    "format": "QDQ",
+    "is_static": false,
+    "mode": "IntegerOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "Conv",
+      "MatMul",
+      "Attention",
+      "LSTM",
+      "Gather",
+      "Transpose",
+      "EmbedLayerNormalization"
+    ],
+    "per_channel": true,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
+    },
+    "reduce_range": false,
+    "weights_dtype": "QInt8",
+    "weights_symmetric": true
+  },
+  "transformers_version": "4.29.0.dev0",
+  "use_external_data_format": true
+}