Instructions to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
# Run inference directly in the terminal:
llama cli -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
# Run inference directly in the terminal:
llama cli -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

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 Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
# Run inference directly in the terminal:
./llama-cli -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

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 Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

Use Docker

docker model run hf.co/Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

LM Studio
Jan

vLLM

How to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

Ollama
How to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with Ollama:
```
ollama run hf.co/Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
```
Unsloth Desktop
Docker Model Runner
How to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with Docker Model Runner:
```
docker model run hf.co/Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF
```

Lemonade

How to use Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

Run and chat with the model

lemonade run user.TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

What's that?

The goal: Q5_K_M+ quality (allegedly) at Q5_K_S size using SOTA quant types from ik_llama.cpp.
The result: Mixed precision quantization of TheDrummer/Big-Alice-28B-v1 utilizing IQ5_K for ffn and embeddings, and IQ6_K for output and attention.

quantized with ik_llama.cpp build: 9d07d868
imatrix by bartowski
incompatible with mainline llama.cpp

Layout

Layer	Dims	Dims	Quant
token_embd	5120	131072.0	iq5_k

	blk	50
attn_k	5120	1024	iq6_k
attn_norm	5120	1	f32
attn_q	5120	4096	iq6_k
attn_v	5120	1024	iq6_k
attn_output	4096	5120	iq6_k
ffn_down	14336	5120	iq5_k
ffn_gate	5120	14336	iq5_k
ffn_norm	5120	1	f32
ffn_up	5120	14336	iq5_k

output	5120	131072	iq6_k
output_norm	5120	1	f32

Cheers

SillyTilly - for the base model.
TheDrummer - for the finetuned model.
bartowski - for the imatrix + the myriad of quants we all benefit from.
ikawrakow and contributors of ik_llama.cpp - I probably misused your ingenious creation.

Downloads last month: 64

GGUF

Model size

15B params

Architecture

llama

Hardware compatibility

Model tree for Koshkasa/TheDrummer_Snowpiercer-15B-v4-IQ5_K-GGUF

Base model

SillyTilly/ServiceNow-AI-Apriel-Nemotron-15b-Thinker-Chatml

Finetuned

TheDrummer/Snowpiercer-15B-v4

Quantized

(13)

this model