Instructions to use aswain4/custom_coding_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aswain4/custom_coding_LLM with Transformers:

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

pipe = pipeline("text-generation", model="aswain4/custom_coding_LLM")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("aswain4/custom_coding_LLM")
model = AutoModelForCausalLM.from_pretrained("aswain4/custom_coding_LLM", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aswain4/custom_coding_LLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aswain4/custom_coding_LLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aswain4/custom_coding_LLM",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/aswain4/custom_coding_LLM

SGLang

How to use aswain4/custom_coding_LLM 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 "aswain4/custom_coding_LLM" \
    --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": "aswain4/custom_coding_LLM",
		"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 "aswain4/custom_coding_LLM" \
        --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": "aswain4/custom_coding_LLM",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use aswain4/custom_coding_LLM with Docker Model Runner:
```
docker model run hf.co/aswain4/custom_coding_LLM
```

aswain4 commited on Apr 18, 2025

Commit

5189249

verified ·

1 Parent(s): 00eec42

Update README.md

Browse files

Files changed (1) hide show

README.md +8 -11

README.md CHANGED Viewed

@@ -6,6 +6,7 @@ language:
 - en
 base_model:
 - mistralai/Mistral-7B-v0.1
 ---
 # Model Card for Model ID
@@ -22,21 +23,17 @@ base_model:
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
 <!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
 ## Uses

 - en
 base_model:
 - mistralai/Mistral-7B-v0.1
+license: apache-2.0
 ---
 # Model Card for Model ID
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+- **Developed by:** Alden Swain
+- **Model type:** Text Generation
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+### Model Sources
 <!-- Provide the basic links for the model. -->
+- **Repository:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1}{mistralai/Mistral-7B-v0.1)
+- **Paper:** [Mistral-7B](https://arxiv.org/abs/2310.06825)
 ## Uses