Instructions to use bartowski/Replete-Coder-Llama3-8B-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/Replete-Coder-Llama3-8B-exl2 with Transformers:

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

pipe = pipeline("text-generation", model="bartowski/Replete-Coder-Llama3-8B-exl2")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bartowski/Replete-Coder-Llama3-8B-exl2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bartowski/Replete-Coder-Llama3-8B-exl2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/Replete-Coder-Llama3-8B-exl2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/Replete-Coder-Llama3-8B-exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bartowski/Replete-Coder-Llama3-8B-exl2

SGLang

How to use bartowski/Replete-Coder-Llama3-8B-exl2 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 "bartowski/Replete-Coder-Llama3-8B-exl2" \
    --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": "bartowski/Replete-Coder-Llama3-8B-exl2",
		"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 "bartowski/Replete-Coder-Llama3-8B-exl2" \
        --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": "bartowski/Replete-Coder-Llama3-8B-exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio new

How to use bartowski/Replete-Coder-Llama3-8B-exl2 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/Replete-Coder-Llama3-8B-exl2 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for bartowski/Replete-Coder-Llama3-8B-exl2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bartowski/Replete-Coder-Llama3-8B-exl2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="bartowski/Replete-Coder-Llama3-8B-exl2",
    max_seq_length=2048,
)

Docker Model Runner
How to use bartowski/Replete-Coder-Llama3-8B-exl2 with Docker Model Runner:
```
docker model run hf.co/bartowski/Replete-Coder-Llama3-8B-exl2
```

Update README.md

by rombodawg - opened Jun 24, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-7

Files changed (1) hide show

README.md +8 -7

README.md CHANGED Viewed

@@ -22,6 +22,7 @@ datasets:
 - cognitivecomputations/dolphin-coder
 - nickrosh/Evol-Instruct-Code-80k-v1
 - coseal/CodeUltraFeedback_binarized
 - glaiveai/glaive-function-calling-v2
 - CyberNative/Code_Vulnerability_Security_DPO
 - jondurbin/airoboros-2.2
@@ -169,15 +170,15 @@ Original model: https://huggingface.co/Replete-AI/Replete-Coder-Llama3-8B
 ## Prompt format
-No chat template specified so default is used. This may be incorrect, check original model card for details.
 ```
-<|im_start|>system
-{system_prompt}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
 ```
 ## Available sizes

 - cognitivecomputations/dolphin-coder
 - nickrosh/Evol-Instruct-Code-80k-v1
 - coseal/CodeUltraFeedback_binarized
 - glaiveai/glaive-function-calling-v2
 - CyberNative/Code_Vulnerability_Security_DPO
 - jondurbin/airoboros-2.2
 ## Prompt format
 ```
+### System:
+{}
+### Instruction:
+{}
+### Response:
+{}
 ```
 ## Available sizes