Instructions to use TheBloke/Phind-CodeLlama-34B-v2-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/Phind-CodeLlama-34B-v2-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/Phind-CodeLlama-34B-v2-GPTQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/Phind-CodeLlama-34B-v2-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/Phind-CodeLlama-34B-v2-GPTQ")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TheBloke/Phind-CodeLlama-34B-v2-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/Phind-CodeLlama-34B-v2-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/Phind-CodeLlama-34B-v2-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/Phind-CodeLlama-34B-v2-GPTQ

SGLang

How to use TheBloke/Phind-CodeLlama-34B-v2-GPTQ 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 "TheBloke/Phind-CodeLlama-34B-v2-GPTQ" \
    --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": "TheBloke/Phind-CodeLlama-34B-v2-GPTQ",
		"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 "TheBloke/Phind-CodeLlama-34B-v2-GPTQ" \
        --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": "TheBloke/Phind-CodeLlama-34B-v2-GPTQ",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/Phind-CodeLlama-34B-v2-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/Phind-CodeLlama-34B-v2-GPTQ
```

'AsyncRequest' object has no attribute '_json_response_data'

by GirishSharma - opened Sep 8, 2023

Discussion

GirishSharma

Sep 8, 2023

(.env) girish@mypc:/media/girish/Lekha/Phind-CodeLlama-34B-v2-GPTQ/oobabooga_linux/one-click-installers/text-generation-webui$ python server.py
2023-09-08 05:31:34.088192: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-09-08 05:31:35.359894: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-09-08 05:31:37 INFO:Loading the extension "gallery"...
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
2023-09-08 05:32:06 INFO:Loading TheBloke_Phind-CodeLlama-34B-v2-GPTQ_gptq-4bit-32g-actorder_True...
2023-09-08 05:32:07 INFO:The AutoGPTQ params are: {'model_basename': 'model', 'device': 'cuda:0', 'use_triton': False, 'inject_fused_attention': True, 'inject_fused_mlp': True, 'use_safetensors': True, 'trust_remote_code': False, 'max_memory': None, 'quantize_config': None, 'use_cuda_fp16': True, 'disable_exllama': False}
'AsyncRequest' object has no attribute '_json_response_data'
Killed

Python version 3.11.4
Ubuntu 23.04

When I tries to add the model, it get failed by above error message.

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