Instructions to use 08443u0/15313 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 08443u0/15313 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="08443u0/15313",
	filename="Meta-Llama-3.1-8B-Instruct-Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use 08443u0/15313 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 08443u0/15313:Q8_0
# Run inference directly in the terminal:
llama-cli -hf 08443u0/15313:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 08443u0/15313:Q8_0
# Run inference directly in the terminal:
llama-cli -hf 08443u0/15313:Q8_0

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 08443u0/15313:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf 08443u0/15313:Q8_0

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 08443u0/15313:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 08443u0/15313:Q8_0

Use Docker

docker model run hf.co/08443u0/15313:Q8_0

LM Studio
Jan
Ollama
How to use 08443u0/15313 with Ollama:
```
ollama run hf.co/08443u0/15313:Q8_0
```

Unsloth Studio new

How to use 08443u0/15313 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 08443u0/15313 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 08443u0/15313 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 08443u0/15313 to start chatting

Docker Model Runner
How to use 08443u0/15313 with Docker Model Runner:
```
docker model run hf.co/08443u0/15313:Q8_0
```

Lemonade

How to use 08443u0/15313 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 08443u0/15313:Q8_0

Run and chat with the model

lemonade run user.15313-Q8_0

List all available models

lemonade list

08443u0 commited on Apr 13

Commit

d2455dd

verified ·

1 Parent(s): 5a8fa80

Upload L3-SMB-Grand-STORY-F32-Ultra-Quality-16_5B-NEO-V2-D_AU-Q6_K-imat13.gguf with huggingface_hub

Browse files

Files changed (2) hide show

.gitattributes +1 -0
L3-SMB-Grand-STORY-F32-Ultra-Quality-16_5B-NEO-V2-D_AU-Q6_K-imat13.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -42,3 +42,4 @@ E4B-Gemma4-it-vl-HERE-DECKARD4-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
 Gemma-3-4b-it-MAX-HORROR-Uncensored-D_AU-Q8_0-imat.gguf filter=lfs diff=lfs merge=lfs -text
 Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q8_1.gguf filter=lfs diff=lfs merge=lfs -text
 L3-Grand-HORROR-17.4B-V1.7-Stable-KOD-D_AU-Q6_k.gguf filter=lfs diff=lfs merge=lfs -text

 Gemma-3-4b-it-MAX-HORROR-Uncensored-D_AU-Q8_0-imat.gguf filter=lfs diff=lfs merge=lfs -text
 Qwen3-8B-Hivemind-Inst-Hrtic-Ablit-Uncensored-Q8_1.gguf filter=lfs diff=lfs merge=lfs -text
 L3-Grand-HORROR-17.4B-V1.7-Stable-KOD-D_AU-Q6_k.gguf filter=lfs diff=lfs merge=lfs -text
+L3-SMB-Grand-STORY-F32-Ultra-Quality-16_5B-NEO-V2-D_AU-Q6_K-imat13.gguf filter=lfs diff=lfs merge=lfs -text

L3-SMB-Grand-STORY-F32-Ultra-Quality-16_5B-NEO-V2-D_AU-Q6_K-imat13.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:0052c75169ed6addf621d5419e85b5d460985ff78d0f93f023567624382bd5f8
+size 13574923264