gguf-Q8_0-smollm-135M-instruct-v0.2

Instructions to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2",
	filename="smollm-135m-instruct-add-basics-q8_0.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 Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2: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 Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2: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 Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0

Use Docker

docker model run hf.co/Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0

LM Studio
Jan
Ollama
How to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with Ollama:
```
ollama run hf.co/Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
```

Unsloth Studio new

How to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 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 Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 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 Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 to start chatting

Docker Model Runner
How to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with Docker Model Runner:
```
docker model run hf.co/Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0
```

Lemonade

How to use Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Felladrin/gguf-Q8_0-smollm-135M-instruct-v0.2:Q8_0

Run and chat with the model

lemonade run user.gguf-Q8_0-smollm-135M-instruct-v0.2-Q8_0

List all available models

lemonade list

Felladrin

eliebak HF Staff commited on Sep 5, 2024

Commit

710c673

verified ·

0 Parent(s):

Duplicate from HuggingFaceTB/smollm-135M-instruct-v0.2-Q8_0-GGUF

Browse files

Co-authored-by: Elie Bakouch <eliebak@users.noreply.huggingface.co>

Files changed (3) hide show

.gitattributes +36 -0
README.md +64 -0
smollm-135m-instruct-add-basics-q8_0.gguf +3 -0

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README.md ADDED Viewed

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+---
+base_model: HuggingFaceTB/SmolLM-135M-Instruct
+datasets:
+- Magpie-Align/Magpie-Pro-300K-Filtered
+- bigcode/self-oss-instruct-sc2-exec-filter-50k
+- teknium/OpenHermes-2.5
+- HuggingFaceTB/everyday-conversations-llama3.1-2k
+- HuggingFaceTB/instruct-data-basics-H4
+license: apache-2.0
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+- llama-cpp
+- gguf-my-repo
+model-index:
+- name: smollm-135M-instruct-add-basics
+  results: []
+---
+# smollm-135M-instruct-add-basics-Q8_0-GGUF
+This model was converted to GGUF format from [`HuggingFaceTB/SmolLM-135M-Instruct`](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) for more details on the model.
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+```bash
+brew install llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+### CLI:
+```bash
+llama-cli --hf-repo HuggingFaceTB/smollm-135M-instruct-add-basics-Q8_0-GGUF --hf-file smollm-135m-instruct-add-basics-q8_0.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo HuggingFaceTB/smollm-135M-instruct-add-basics-Q8_0-GGUF --hf-file smollm-135m-instruct-add-basics-q8_0.gguf -c 2048
+```
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo HuggingFaceTB/smollm-135M-instruct-add-basics-Q8_0-GGUF --hf-file smollm-135m-instruct-add-basics-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo HuggingFaceTB/smollm-135M-instruct-add-basics-Q8_0-GGUF --hf-file smollm-135m-instruct-add-basics-q8_0.gguf -c 2048
+```

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