Instructions to use bklassen3/softbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bklassen3/softbot with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="bklassen3/softbot",
	filename="softball.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use bklassen3/softbot 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 bklassen3/softbot:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bklassen3/softbot:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bklassen3/softbot:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bklassen3/softbot: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 bklassen3/softbot:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bklassen3/softbot: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 bklassen3/softbot:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bklassen3/softbot:Q4_K_M

Use Docker

docker model run hf.co/bklassen3/softbot:Q4_K_M

LM Studio
Jan

vLLM

How to use bklassen3/softbot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bklassen3/softbot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bklassen3/softbot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bklassen3/softbot:Q4_K_M

Ollama
How to use bklassen3/softbot with Ollama:
```
ollama run hf.co/bklassen3/softbot:Q4_K_M
```

Unsloth Studio

How to use bklassen3/softbot 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 bklassen3/softbot 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 bklassen3/softbot to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for bklassen3/softbot to start chatting

Atomic Chat new
Docker Model Runner
How to use bklassen3/softbot with Docker Model Runner:
```
docker model run hf.co/bklassen3/softbot:Q4_K_M
```

Lemonade

How to use bklassen3/softbot with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bklassen3/softbot:Q4_K_M

Run and chat with the model

lemonade run user.softbot-Q4_K_M

List all available models

lemonade list

Ben Klassen commited on Sep 13, 2025

Commit

e3b6926

1 Parent(s): 10539fa

Initial upload

Browse files

Files changed (4) hide show

.gitattributes +2 -0
LICENSE +20 -0
README.md +27 -0
softball.Q4_K_M.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text

LICENSE ADDED Viewed

	@@ -0,0 +1,20 @@

+MIT License
+Copyright (c) 2025 Ben Klassen
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
+the Software, and to permit persons to whom the Software is furnished to do so,
+subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
+FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

README.md ADDED Viewed

	@@ -0,0 +1,27 @@

+---
+language: en
+license: mit
+tags:
+  - gguf
+  - llama.cpp
+  - ollama
+  - softball
+  - finetune
+  - domain-specific
+pretty_name: Softball-Q4 GGUF
+pipeline_tag: text-generation
+---
+# Softball-Q4 (GGUF)
+**Format:** GGUF (compatible with `llama.cpp`, `llamafile`, many runtimes)
+**Size:** ~4.9 GB (q4\_K\_M quant)
+**Base model:** Meta-Llama-3-8B-Instruct
+**Finetuning:** LoRA merged on 09-12-2025, domain: softball analytics Q&A & text-to-SQL.
+## Intended Use
+- Natural language Q&A and SQL assistance for softball data.
+- Educational and exploratory analysis assistance.
+**Not intended for:** safety-critical decisions or authoritative rule enforcement.

softball.Q4_K_M.gguf ADDED Viewed

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

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+oid sha256:9518f35829052f8a830de51855e2f026114468b227871dc723a9b829d383ef4c
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