Instructions to use solidrust/Mewthree-7B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use solidrust/Mewthree-7B-AWQ with Transformers:

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

pipe = pipeline("text-generation", model="solidrust/Mewthree-7B-AWQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("solidrust/Mewthree-7B-AWQ")
model = AutoModelForCausalLM.from_pretrained("solidrust/Mewthree-7B-AWQ")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use solidrust/Mewthree-7B-AWQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "solidrust/Mewthree-7B-AWQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "solidrust/Mewthree-7B-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/solidrust/Mewthree-7B-AWQ

SGLang

How to use solidrust/Mewthree-7B-AWQ 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 "solidrust/Mewthree-7B-AWQ" \
    --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": "solidrust/Mewthree-7B-AWQ",
		"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 "solidrust/Mewthree-7B-AWQ" \
        --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": "solidrust/Mewthree-7B-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use solidrust/Mewthree-7B-AWQ with Docker Model Runner:
```
docker model run hf.co/solidrust/Mewthree-7B-AWQ
```

Suparious commited on Sep 3, 2024

Commit

80a7e5c

verified ·

1 Parent(s): 30aee48

Updated and moved existing to merged_models base_model tag in README.md

Browse files

Files changed (1) hide show

README.md +19 -18

README.md CHANGED Viewed

@@ -1,30 +1,16 @@
 ---
 language:
 - en
-base_model:
-- Krisbiantoro/mistral7b_dpo_en
 library_name: transformers
-tags:
-  - mergekit
-  - merge
-  - quantized
-  - 4-bit
-  - AWQ
-  - transformers
-  - pytorch
-  - mistral
-  - text-generation
-  - conversational
-  - autotrain_compatible
-  - endpoints_compatible
-  - text-generation-inference
-  - chatml
 license: other
 model_creator: jeiku
 model_name: Mewthree-7B
 model_type: mistral
 pipeline_tag: text-generation
-inference: false
 prompt_template: '<|im_start|>system
   {system_message}<|im_end|>
@@ -37,6 +23,21 @@ prompt_template: '<|im_start|>system
   '
 quantized_by: Suparious
 ---
 # jeiku/Mewthree-7B AWQ

 ---
+base_model: jeiku/Mewthree_7B
+inference: false
 language:
 - en
 library_name: transformers
 license: other
+merged_models:
+- Krisbiantoro/mistral7b_dpo_en
 model_creator: jeiku
 model_name: Mewthree-7B
 model_type: mistral
 pipeline_tag: text-generation
 prompt_template: '<|im_start|>system
   {system_message}<|im_end|>
   '
 quantized_by: Suparious
+tags:
+- mergekit
+- merge
+- quantized
+- 4-bit
+- AWQ
+- transformers
+- pytorch
+- mistral
+- text-generation
+- conversational
+- autotrain_compatible
+- endpoints_compatible
+- text-generation-inference
+- chatml
 ---
 # jeiku/Mewthree-7B AWQ