Instructions to use fblgit/LUNA-SOLARkrautLM-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fblgit/LUNA-SOLARkrautLM-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="fblgit/LUNA-SOLARkrautLM-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fblgit/LUNA-SOLARkrautLM-Instruct")
model = AutoModelForCausalLM.from_pretrained("fblgit/LUNA-SOLARkrautLM-Instruct")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use fblgit/LUNA-SOLARkrautLM-Instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/fblgit/LUNA-SOLARkrautLM-Instruct

SGLang

How to use fblgit/LUNA-SOLARkrautLM-Instruct 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 "fblgit/LUNA-SOLARkrautLM-Instruct" \
    --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": "fblgit/LUNA-SOLARkrautLM-Instruct",
		"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 "fblgit/LUNA-SOLARkrautLM-Instruct" \
        --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": "fblgit/LUNA-SOLARkrautLM-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use fblgit/LUNA-SOLARkrautLM-Instruct with Docker Model Runner:
```
docker model run hf.co/fblgit/LUNA-SOLARkrautLM-Instruct
```

fblgit commited on Dec 22, 2023

Commit

f3afc86

1 Parent(s): bc405bc

Update README.md

Browse files

Files changed (1) hide show

README.md +42 -0

README.md CHANGED Viewed

@@ -213,6 +213,48 @@ hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct,dtype=float16), gen_kwargs: (),
 | - social_sciences|N/A    |none  |     5|acc   |0.7501|±  |0.0684|
 | - stem           |N/A    |none  |     5|acc   |0.5569|±  |0.1360|
 ```
 ## Disclaimer
 We must inform users that despite our best efforts in data cleansing, the possibility of uncensored content slipping through cannot be entirely ruled out.

 | - social_sciences|N/A    |none  |     5|acc   |0.7501|±  |0.0684|
 | - stem           |N/A    |none  |     5|acc   |0.5569|±  |0.1360|
 ```
+### MT-Bench
+```
+########## Average ##########
+                                  score
+model
+gpt-4                          8.990625
+gpt-3.5-turbo                  7.943750
+claude-instant-v1              7.905660
+claude-v1                      7.900000
+UNA-SOLAR-10.7B-Instruct-v1.0  7.521875
+LUNA-SOLARkrautLM-Instruct     7.462500
+vicuna-33b-v1.3                7.121875
+wizardlm-30b                   7.009375
+Llama-2-70b-chat               6.856250
+Llama-2-13b-chat               6.650000
+guanaco-33b                    6.528125
+tulu-30b                       6.434375
+guanaco-65b                    6.409375
+oasst-sft-7-llama-30b          6.409375
+palm-2-chat-bison-001          6.400000
+mpt-30b-chat                   6.393750
+vicuna-13b-v1.3                6.387500
+wizardlm-13b                   6.353125
+Llama-2-7b-chat                6.268750
+vicuna-7b-v1.3                 5.996875
+baize-v2-13b                   5.750000
+nous-hermes-13b                5.553459
+mpt-7b-chat                    5.459119
+gpt4all-13b-snoozy             5.452830
+koala-13b                      5.350000
+mpt-30b-instruct               5.218750
+falcon-40b-instruct            5.168750
+h2ogpt-oasst-open-llama-13b    4.625000
+alpaca-13b                     4.531250
+chatglm-6b                     4.500000
+oasst-sft-4-pythia-12b         4.318750
+rwkv-4-raven-14b               3.984375
+dolly-v2-12b                   3.275000
+fastchat-t5-3b                 3.040625
+stablelm-tuned-alpha-7b        2.753125
+llama-13b                      2.606250
+```
 ## Disclaimer
 We must inform users that despite our best efforts in data cleansing, the possibility of uncensored content slipping through cannot be entirely ruled out.