Instructions to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ND911/Franken-Mistral-Maid-TWK-Slerp-gguf", dtype="auto")

llama-cpp-python

How to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ND911/Franken-Mistral-Maid-TWK-Slerp-gguf",
	filename="Franken-Mistral-Maid-TWK.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ND911/Franken-Mistral-Maid-TWK-Slerp-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 ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
# Run inference directly in the terminal:
llama cli -hf ND911/Franken-Mistral-Maid-TWK-Slerp-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
# Run inference directly in the terminal:
llama cli -hf ND911/Franken-Mistral-Maid-TWK-Slerp-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 ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
# Run inference directly in the terminal:
./llama-cli -hf ND911/Franken-Mistral-Maid-TWK-Slerp-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 ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ND911/Franken-Mistral-Maid-TWK-Slerp-gguf

Use Docker

docker model run hf.co/ND911/Franken-Mistral-Maid-TWK-Slerp-gguf

LM Studio
Jan
Ollama
How to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with Ollama:
```
ollama run hf.co/ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
```

Unsloth Studio

How to use ND911/Franken-Mistral-Maid-TWK-Slerp-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 ND911/Franken-Mistral-Maid-TWK-Slerp-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 ND911/Franken-Mistral-Maid-TWK-Slerp-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ND911/Franken-Mistral-Maid-TWK-Slerp-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with Docker Model Runner:
```
docker model run hf.co/ND911/Franken-Mistral-Maid-TWK-Slerp-gguf
```

Lemonade

How to use ND911/Franken-Mistral-Maid-TWK-Slerp-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ND911/Franken-Mistral-Maid-TWK-Slerp-gguf

Run and chat with the model

lemonade run user.Franken-Mistral-Maid-TWK-Slerp-gguf-{{QUANT_TAG}}

List all available models

lemonade list

ND911 commited on Mar 13, 2024

Commit

3c44589

verified ·

1 Parent(s): e60acbe

Create README.md

Browse files

Files changed (1) hide show

README.md +55 -0

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	@@ -0,0 +1,55 @@

+---
+base_model:
+- l3utterfly/mistral-7b-v0.1-layla-v4-chatml
+- ND911/Fraken-Maid-TW-K-Slerp
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+![](maid.jpeg)
+# Franken-Mistral-Maid-TWK-Slerp 7B gguf q8_0
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+see below
+### Merge Method
+This model was merged using the SLERP merge method.
+### Models Merged
+The following models were included in the merge:
+* [l3utterfly/mistral-7b-v0.1-layla-v4-chatml](https://huggingface.co/l3utterfly/mistral-7b-v0.1-layla-v4-chatml)
+* [ND911/Fraken-Maid-TW-K-Slerp](https://huggingface.co/ND911/Fraken-Maid-TW-K-Slerp)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+slices:
+  - sources:
+      - model: ND911/Fraken-Maid-TW-K-Slerp
+        layer_range: [0, 32]
+      - model: l3utterfly/mistral-7b-v0.1-layla-v4-chatml
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ND911/Fraken-Maid-TW-K-Slerp
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```