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

Libraries

How to use shafire/SpectraMind with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="shafire/SpectraMind",
	filename="MicroSpectraMind_f16.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 shafire/SpectraMind with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shafire/SpectraMind:F16
# Run inference directly in the terminal:
llama-cli -hf shafire/SpectraMind:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf shafire/SpectraMind:F16
# Run inference directly in the terminal:
llama-cli -hf shafire/SpectraMind:F16

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 shafire/SpectraMind:F16
# Run inference directly in the terminal:
./llama-cli -hf shafire/SpectraMind:F16

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 shafire/SpectraMind:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf shafire/SpectraMind:F16

Use Docker

docker model run hf.co/shafire/SpectraMind:F16

LM Studio
Jan
Ollama
How to use shafire/SpectraMind with Ollama:
```
ollama run hf.co/shafire/SpectraMind:F16
```

Unsloth Studio new

How to use shafire/SpectraMind 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 shafire/SpectraMind 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 shafire/SpectraMind to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use shafire/SpectraMind with Docker Model Runner:
```
docker model run hf.co/shafire/SpectraMind:F16
```

Lemonade

How to use shafire/SpectraMind with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull shafire/SpectraMind:F16

Run and chat with the model

lemonade run user.SpectraMind-F16

List all available models

lemonade list

shafire commited on Nov 18, 2024

Commit

286a726

verified ·

1 Parent(s): 76c8f6c

Upload SpectraMindz_f16.gguf

Browse files

Files changed (2) hide show

.gitattributes +1 -0
SpectraMindz_f16.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -38,3 +38,4 @@ SpectraMind_q8_0.gguf filter=lfs diff=lfs merge=lfs -text
 image[[:space:]]-[[:space:]]2024-10-30T183953.513.png filter=lfs diff=lfs merge=lfs -text
 spectramind.png filter=lfs diff=lfs merge=lfs -text
 SpectraMind.card.png filter=lfs diff=lfs merge=lfs -text

 image[[:space:]]-[[:space:]]2024-10-30T183953.513.png filter=lfs diff=lfs merge=lfs -text
 spectramind.png filter=lfs diff=lfs merge=lfs -text
 SpectraMind.card.png filter=lfs diff=lfs merge=lfs -text
+SpectraMindz_f16.gguf filter=lfs diff=lfs merge=lfs -text

SpectraMindz_f16.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:394efb6d335cd571d6ec845f94e7e29caf3c2ab08302ffc65f9c729beb35ef1d
+size 16068891616