Instructions to use TheBloke/deepseek-coder-33B-instruct-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/deepseek-coder-33B-instruct-GPTQ with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/deepseek-coder-33B-instruct-GPTQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/deepseek-coder-33B-instruct-GPTQ")
model = AutoModelForCausalLM.from_pretrained("TheBloke/deepseek-coder-33B-instruct-GPTQ")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TheBloke/deepseek-coder-33B-instruct-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/deepseek-coder-33B-instruct-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/deepseek-coder-33B-instruct-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TheBloke/deepseek-coder-33B-instruct-GPTQ

SGLang

How to use TheBloke/deepseek-coder-33B-instruct-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/deepseek-coder-33B-instruct-GPTQ" \
    --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": "TheBloke/deepseek-coder-33B-instruct-GPTQ",
		"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 "TheBloke/deepseek-coder-33B-instruct-GPTQ" \
        --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": "TheBloke/deepseek-coder-33B-instruct-GPTQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TheBloke/deepseek-coder-33B-instruct-GPTQ with Docker Model Runner:
```
docker model run hf.co/TheBloke/deepseek-coder-33B-instruct-GPTQ
```

Not working in TG-webui with ExLlama_HF

by cvinker - opened Nov 5, 2023

Discussion

cvinker

Nov 5, 2023

2023-11-05 14:13:30 INFO:Loading TheBloke_deepseek-coder-33B-instruct-GPTQ_gptq-8bit-128g-actorder_True...
2023-11-05 14:13:46 ERROR:Failed to load the model.
Traceback (most recent call last):
  File "/workspace/text-generation-webui/modules/ui_model_menu.py", line 209, in load_model_wrapper
    shared.model, shared.tokenizer = load_model(shared.model_name, loader)
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/modules/models.py", line 84, in load_model
    output = load_func_map[loader](model_name)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/modules/models.py", line 348, in ExLlama_HF_loader
    return ExllamaHF.from_pretrained(model_name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/modules/exllama_hf.py", line 174, in from_pretrained
    return ExllamaHF(config)
           ^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/modules/exllama_hf.py", line 31, in __init__
    self.ex_model = ExLlama(self.ex_config)
                    ^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/installer_files/env/lib/python3.11/site-packages/exllama/model.py", line 889, in __init__
    layer = ExLlamaDecoderLayer(self.config, tensors, f"model.layers.{i}", i, sin, cos)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/installer_files/env/lib/python3.11/site-packages/exllama/model.py", line 517, in __init__
    self.self_attn = ExLlamaAttention(self.config, tensors, key + ".self_attn", sin, cos, self.index)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/installer_files/env/lib/python3.11/site-packages/exllama/model.py", line 304, in __init__
    self.q_proj = Ex4bitLinear(config, self.config.hidden_size, self.config.num_attention_heads * self.config.head_dim, False, tensors, key + ".q_proj")
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/installer_files/env/lib/python3.11/site-packages/exllama/model.py", line 154, in __init__
    self.q4 = cuda_ext.ext_make_q4(self.qweight,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/text-generation-webui/installer_files/env/lib/python3.11/site-packages/exllama/cuda_ext.py", line 33, in ext_make_q4
    return make_q4(qweight,
           ^^^^^^^^^^^^^^^^
RuntimeError: qweight and qzeros have incompatible shapes

TheBloke

Owner Nov 5, 2023

ExLlama does not support 8-bit models - please see the table in the README which shows which files will or won't work with ExLlama

cvinker

Nov 5, 2023

ExLlama does not support 8-bit models - please see the table in the README which shows which files will or won't work with ExLlama

Thank you, my bad, I have it working with Transformers.

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