Instructions to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/WizardCoder-Python-34B-V1.0-GGUF", dtype="auto")

llama-cpp-python

How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheBloke/WizardCoder-Python-34B-V1.0-GGUF",
	filename="wizardcoder-python-34b-v1.0.Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with Ollama:
```
ollama run hf.co/TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
```

Unsloth Studio new

How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF 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 TheBloke/WizardCoder-Python-34B-V1.0-GGUF 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 TheBloke/WizardCoder-Python-34B-V1.0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TheBloke/WizardCoder-Python-34B-V1.0-GGUF to start chatting

Docker Model Runner
How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/WizardCoder-Python-34B-V1.0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/WizardCoder-Python-34B-V1.0-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.WizardCoder-Python-34B-V1.0-GGUF-Q4_K_M

List all available models

lemonade list

TheBloke commited on Sep 27, 2023

Commit

19e2291

1 Parent(s): d680ad2

Update base_model formatting

Browse files

Files changed (1) hide show

README.md +18 -19

README.md CHANGED Viewed

@@ -1,25 +1,13 @@
 ---
-base_model: https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0
-inference: false
-library_name: transformers
 license: llama2
 metrics:
 - code_eval
-model-index:
-- name: WizardCoder-Python-34B-V1.0
-  results:
-  - dataset:
-      name: HumanEval
-      type: openai_humaneval
-    metrics:
-    - name: pass@1
-      type: pass@1
-      value: 0.732
-      verified: false
-    task:
-      type: text-generation
 model_creator: WizardLM
-model_name: WizardCoder Python 34B V1.0
 model_type: llama
 prompt_template: 'Below is an instruction that describes a task. Write a response
   that appropriately completes the request.
@@ -34,8 +22,19 @@ prompt_template: 'Below is an instruction that describes a task. Write a respons
   '
 quantized_by: TheBloke
-tags:
-- code
 ---
 <!-- header start -->

 ---
 license: llama2
+library_name: transformers
+tags:
+- code
 metrics:
 - code_eval
+base_model: WizardLM/WizardCoder-Python-34B-V1.0
+inference: false
 model_creator: WizardLM
 model_type: llama
 prompt_template: 'Below is an instruction that describes a task. Write a response
   that appropriately completes the request.
   '
 quantized_by: TheBloke
+model-index:
+- name: WizardCoder-Python-34B-V1.0
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: openai_humaneval
+    metrics:
+    - type: pass@1
+      value: 0.732
+      name: pass@1
+      verified: false
 ---
 <!-- header start -->