Instructions to use flpelerin/mlk-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use flpelerin/mlk-models with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="flpelerin/mlk-models",
	filename="run-0a23d4bc/run-0a23d4bc.q8_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use flpelerin/mlk-models with llama.cpp:

Install from brew

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

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf flpelerin/mlk-models:Q8_0
# Run inference directly in the terminal:
llama-cli -hf flpelerin/mlk-models: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 flpelerin/mlk-models:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf flpelerin/mlk-models: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 flpelerin/mlk-models:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf flpelerin/mlk-models:Q8_0

Use Docker

docker model run hf.co/flpelerin/mlk-models:Q8_0

LM Studio
Jan
Ollama
How to use flpelerin/mlk-models with Ollama:
```
ollama run hf.co/flpelerin/mlk-models:Q8_0
```

Unsloth Studio

How to use flpelerin/mlk-models 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 flpelerin/mlk-models 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 flpelerin/mlk-models to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for flpelerin/mlk-models to start chatting

Atomic Chat new
Docker Model Runner
How to use flpelerin/mlk-models with Docker Model Runner:
```
docker model run hf.co/flpelerin/mlk-models:Q8_0
```

Lemonade

How to use flpelerin/mlk-models with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull flpelerin/mlk-models:Q8_0

Run and chat with the model

lemonade run user.mlk-models-Q8_0

List all available models

lemonade list

flpelerin commited on Apr 24, 2024

Commit

cafb816

1 Parent(s): 7bc9041

added run-867f0e76

Browse files

Files changed (11) hide show

.gitattributes +1 -0
run-867f0e76/merged/config.json +3 -0
run-867f0e76/merged/generation_config.json +3 -0
run-867f0e76/merged/pytorch_model-00001-of-00002.bin +3 -0
run-867f0e76/merged/pytorch_model-00002-of-00002.bin +3 -0
run-867f0e76/merged/pytorch_model.bin.index.json +3 -0
run-867f0e76/merged/special_tokens_map.json +3 -0
run-867f0e76/merged/tokenizer.json +3 -0
run-867f0e76/merged/tokenizer.model +3 -0
run-867f0e76/merged/tokenizer_config.json +3 -0
run-867f0e76/run-867f0e76.q5_k_m.gguf +3 -0

@@ -49,3 +49,4 @@ run-6ebb8743/** filter=lfs diff=lfs merge=lfs -text
 run-f33b16fe/** filter=lfs diff=lfs merge=lfs -text
 run-cf913a98/** filter=lfs diff=lfs merge=lfs -text
 run-2f175ee5/** filter=lfs diff=lfs merge=lfs -text

 run-f33b16fe/** filter=lfs diff=lfs merge=lfs -text
 run-cf913a98/** filter=lfs diff=lfs merge=lfs -text
 run-2f175ee5/** filter=lfs diff=lfs merge=lfs -text
+run-867f0e76/** filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:a4d146b85ad761c34b2fd39b49b4d5a622b8bc31e56bfa307e956744608a9d47
+size 699

+version https://git-lfs.github.com/spec/v1
+oid sha256:0bca00c436a265008f690f46eb597f53e657abfdafad63e04e705313be8fa5ae
+size 158

+version https://git-lfs.github.com/spec/v1
+oid sha256:02516408b1f3d534daff92e1b06ada46aeff7d4f5ac700ce4f8bb8b150147114
+size 4945278526

+version https://git-lfs.github.com/spec/v1
+oid sha256:453422aa83bef13f66f535e6ebdab19116a376ad1696b0fb8c665ac548f65cb7
+size 67123448

+version https://git-lfs.github.com/spec/v1
+oid sha256:428bc5d66d3b5d502ba053b1a62304a40ac21d3433d49dd7c28907bc74c9221b
+size 13547

+version https://git-lfs.github.com/spec/v1
+oid sha256:db82f8bd9b25d14f9c788e6bde64de84d42f1c2538f1c245ba6cb3e872d14b18
+size 555

+version https://git-lfs.github.com/spec/v1
+oid sha256:d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
+size 17477553

+version https://git-lfs.github.com/spec/v1
+oid sha256:6969e64047744a44bb3abfb5c50f8de0f7ed8b571d5444426ef931f651d1a0ef
+size 4241111

+version https://git-lfs.github.com/spec/v1
+oid sha256:acb0c767881929483d11af25020fc4744c474eed09101a5752d4d443a13d3e55
+size 1108

+version https://git-lfs.github.com/spec/v1
+oid sha256:16252b54eccd654b41bf2dd25157ab7a7c07c8652d5be2b8bc5c37340bfa2184
+size 2200097984

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

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

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

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