Instructions to use shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit with Transformers:

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

pipe = pipeline("text-generation", model="shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit")
model = AutoModelForCausalLM.from_pretrained("shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit

SGLang

How to use shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit 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 "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit" \
    --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": "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit",
		"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 "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit" \
        --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": "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit with Docker Model Runner:
```
docker model run hf.co/shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged-bnb-4bit
```

shidowake commited on Mar 22, 2024

Commit

7b4add9

verified ·

1 Parent(s): 23dc1bc

Upload folder using huggingface_hub

Browse files

Files changed (8) hide show

config.json +43 -0
generation_config.json +10 -0
model-00001-of-00002.safetensors +3 -0
model-00002-of-00002.safetensors +3 -0
model.safetensors.index.json +0 -0
special_tokens_map.json +23 -0
tokenizer.model +3 -0
tokenizer_config.json +35 -0

config.json ADDED Viewed

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+{
+  "_name_or_path": "shidowake/240321-swal-13b-orca-boros-en-ja-split-0-qlora-adaptor-fp16merged",
+  "architectures": [
+    "LlamaForCausalLM"
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "max_sequence_length": 4096,
+  "model_type": "llama",
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+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 2,
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+  "quantization_config": {
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+    "bnb_4bit_quant_type": "nf4",
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+    "quant_method": "bitsandbytes"
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+  "rms_norm_eps": 1e-05,
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+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "unsloth_version": "2024.3",
+  "use_cache": true,
+  "vocab_size": 43176
+}

generation_config.json ADDED Viewed

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