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
- Transformers
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
Upload folder using huggingface_hub
Browse files- .gitattributes +7 -0
- .ipynb_checkpoints/config-checkpoint.json +25 -0
- .ipynb_checkpoints/generation_config-checkpoint.json +9 -0
- .ipynb_checkpoints/special_tokens_map-checkpoint.json +23 -0
- .ipynb_checkpoints/tokenizer-checkpoint.json +0 -0
- .ipynb_checkpoints/tokenizer_config-checkpoint.json +33 -0
- Constant_106_attr__value +3 -0
- Constant_114_attr__value +3 -0
- Constant_162_attr__value +3 -0
- Constant_170_attr__value +3 -0
- config.json +25 -0
- generation_config.json +9 -0
- onnx/decoder_model.onnx +3 -0
- onnx/decoder_model.onnx_data +3 -0
- onnx/decoder_model_merged.onnx +3 -0
- onnx/decoder_model_merged.onnx_data +3 -0
- onnx/decoder_with_past_model.onnx +3 -0
- onnx/decoder_with_past_model.onnx_data +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
.gitattributes
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onnx/decoder_model.onnx_data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_model_merged.onnx_data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_with_past_model.onnx_data filter=lfs diff=lfs merge=lfs -text
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{
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"_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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"architectures": [
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"LlamaForCausalLM"
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"hidden_act": "silu",
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Constant_106_attr__value
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Constant_114_attr__value
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Constant_162_attr__value
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Constant_170_attr__value
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config.json
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{
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"_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
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"architectures": [
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"LlamaForCausalLM"
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"model_type": "llama",
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"tie_word_embeddings": false,
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| 23 |
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.9,
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"top_p": 0.6,
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| 8 |
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"transformers_version": "4.31.0"
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}
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onnx/decoder_model.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model.onnx_data
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size 26953662464
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onnx/decoder_model_merged.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/decoder_model_merged.onnx_data
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version https://git-lfs.github.com/spec/v1
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size 26953662464
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onnx/decoder_with_past_model.onnx
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version https://git-lfs.github.com/spec/v1
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size 5471136
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onnx/decoder_with_past_model.onnx_data
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size 26953662464
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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| 23 |
+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"__type": "AddedToken",
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"clean_up_tokenization_spaces": false,
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"__type": "AddedToken",
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"legacy": false,
|
| 20 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 21 |
+
"pad_token": null,
|
| 22 |
+
"sp_model_kwargs": {},
|
| 23 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 24 |
+
"unk_token": {
|
| 25 |
+
"__type": "AddedToken",
|
| 26 |
+
"content": "<unk>",
|
| 27 |
+
"lstrip": false,
|
| 28 |
+
"normalized": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"single_word": false
|
| 31 |
+
},
|
| 32 |
+
"use_fast": false
|
| 33 |
+
}
|