Instructions to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF") sentences = [ "Since December 31, 2003 (the \"Balance Sheet Date\"), except as set forth on Schedule 2.7 hereto and in the SEC Reports, neither the Company nor any of its Subsidiaries has:", "Since the date of the RMAG Interim Balance Sheet, RMAG has been operated only in the ordinary course, consistent with past practice, and there has not been any adverse change, or any event, fact or circumstance which might reasonably be expected to result in an adverse change, in either event that would have a RMAG Material Adverse Effect. Without limiting the generality of the foregoing, except as set forth on Schedule 3.6, since October 1, 1999, there has not been with respect to RMAG any:", "Since September 1, 2011 through the date of this Agreement, except as contemplated by this Agreement, (a) the Company and its Subsidiaries have conducted their respective businesses in the ordinary course of business consistent with past practice and (b) there has not been (i) any event, circumstance, change, occurrence, state of facts or effect (including the incurrence or arising of any liabilities of any nature, whether or not accrued, contingent or otherwise) that has had or would be reasonably likely to have, individually or in the aggregate, a Company Material Adverse Effect, or (ii) any action taken or agreed to be taken by the Company or any of its Subsidiaries that, if taken during the period from the date of this Agreement through the Effective Time, would constitute a breach of clause (v), (vi), (viii), (ix), (x), (xi), (xv) or (xvii) of Section 5.1.", "Except as set forth on Schedule 4.9, since the date of the Latest Balance Sheet, each of the Company and the Company Subsidiaries has conducted its business only in the ordinary course consistent with past custom and practices. Except as set forth on Schedule 4.9, since the date of the Latest Balance Sheet, there has not been any:" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - llama-cpp-python
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF", filename="legal-clause-minilm-l6-v2-q8_0.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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama-cli -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama-cli -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF: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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF: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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with Ollama:
ollama run hf.co/Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
- Unsloth Studio
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
- Lemonade
How to use Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.legal-clause-minilm-l6-v2-Q8_0-GGUF-Q8_0
List all available models
lemonade list
Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF
This model was converted to GGUF format from hbpkillerX/legal-clause-minilm-l6-v2 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF --hf-file legal-clause-minilm-l6-v2-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF --hf-file legal-clause-minilm-l6-v2-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps 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 Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF --hf-file legal-clause-minilm-l6-v2-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF --hf-file legal-clause-minilm-l6-v2-q8_0.gguf -c 2048
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Model tree for Sleem247/legal-clause-minilm-l6-v2-Q8_0-GGUF
Base model
nreimers/MiniLM-L6-H384-uncasedEvaluation results
- Cosine Accuracy on clause eval tripletsself-reported0.976