Instructions to use cockroach54/solar-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cockroach54/solar-sft-qlora with Transformers:

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

pipe = pipeline("text-generation", model="cockroach54/solar-sft-qlora")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cockroach54/solar-sft-qlora")
model = AutoModelForCausalLM.from_pretrained("cockroach54/solar-sft-qlora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cockroach54/solar-sft-qlora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cockroach54/solar-sft-qlora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cockroach54/solar-sft-qlora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cockroach54/solar-sft-qlora

SGLang

How to use cockroach54/solar-sft-qlora 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 "cockroach54/solar-sft-qlora" \
    --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": "cockroach54/solar-sft-qlora",
		"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 "cockroach54/solar-sft-qlora" \
        --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": "cockroach54/solar-sft-qlora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cockroach54/solar-sft-qlora with Docker Model Runner:
```
docker model run hf.co/cockroach54/solar-sft-qlora
```

cockroach54 commited on Apr 8, 2024

Commit

2b783cb

verified ·

1 Parent(s): f5b3f5c

Update README.md

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@@ -1,3 +1,34 @@
 ---
 license: apache-2.0
----

 ---
 license: apache-2.0
+datasets:
+- davidkim205/kollm-converations
+language:
+- ko
+- en
+library_name: transformers
+---
+- just for practice
+- trained by transformers, peft, bitsandbytes
+- evaluated by https://github.com/davidkim205/kollm_evaluation
+|     Tasks      |Version|Filter|n-shot| Metric |Value |   |Stderr|
+|----------------|------:|------|-----:|--------|-----:|---|------|
+|kobest_wic      |      1|none  |     0|acc     |0.5056|±  |0.0141|
+|                |       |none  |     0|f1      |0.4170|±  |N/A   |
+|kobest_sentineg |      1|none  |     0|acc     |0.8791|±  |0.0164|
+|                |       |none  |     0|f1      |0.8779|±  |N/A   |
+|kobest_hellaswag|      1|none  |     0|acc     |0.4540|±  |0.0223|
+|                |       |none  |     0|f1      |0.4522|±  |N/A   |
+|                |       |none  |     0|acc_norm|0.5600|±  |0.0222|
+|kobest_copa     |      1|none  |     0|acc     |0.6540|±  |0.0151|
+|                |       |none  |     0|f1      |0.6535|±  |N/A   |
+|kobest_boolq    |      1|none  |     0|acc     |0.5135|±  |0.0133|
+|                |       |none  |     0|f1      |0.3592|±  |N/A   |
+|ko_truthfulqa   |      2|none  |     0|acc     |0.2938|±  |0.0159|
+|ko_hellaswag    |      1|none  |     0|acc     |0.3816|±  |0.0048|
+|                |       |none  |     0|acc_norm|0.5171|±  |0.0050|
+|ko_common_gen   |      1|none  |     0|acc     |0.8095|±  |0.0100|
+|                |       |none  |     0|acc_norm|0.8095|±  |0.0100|
+|ko_arc_easy     |      1|none  |     0|acc     |0.3311|±  |0.0138|
+|                |       |none  |     0|acc_norm|0.4053|±  |0.0143|