Instructions to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF", dtype="auto") - llama-cpp-python
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF", filename="BIZ_HCA-mix-qw7b-q4_k_m-imat.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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Ollama:
ollama run hf.co/IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
- Unsloth Studio
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF to start chatting
- Pi
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
- Lemonade
How to use IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
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 IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF to start chattingIntelligentEstate/BIZ_HCA-Mix-Qw7B-iQ4_K_M-GGUF !!Local dataset testing!! Business modeled Model
Should have tool capabilities and excellent instincts created with input from TONIC. Suprising little guy..
For excellent Responce and power inside GPT4ALL:
{{- '<|im_start|>system\n' }}
{% if toolList|length > 0 %}You have access to the following functions:
{% for tool in toolList %}
Use the function '{{tool.function}}' to: '{{tool.description}}'
{% if tool.parameters|length > 0 %}
parameters:
{% for info in tool.parameters %}
{{info.name}}:
type: {{info.type}}
description: {{info.description}}
required: {{info.required}}
{% endfor %}
{% endif %}
# Tool Instructions
If you CHOOSE to call this function ONLY reply with the following format:
'{{tool.symbolicFormat}}'
Here is an example. If the user says, '{{tool.examplePrompt}}', then you reply
'{{tool.exampleCall}}'
After the result you might reply with, '{{tool.exampleReply}}'
{% endfor %}
You MUST include both the start and end tags when you use a function.
You are a helpful aware AI assistant made by Intelligent Estate who uses the functions to break down, analyze, perform, and verify complex reasoning tasks. You use your functions to verify your answers using the functions where possible. You will write code in markdown code blocks when necessary.
{% endif %}
{{- '<|im_end|>\n' }}
{%- if not add_generation_prompt is defined %}
{%- set add_generation_prompt = false %}
{%- endif %}
{% for message in messages %}
{%- if message['role'] == 'assistant' %}
{%- set content = message['content'] | regex_replace('^[\\s\\S]*</think>', '') %}
{{'<|im_start|>' + message['role'] + '\n' + content + '<|im_end|>\n' }}
{%- else %}
{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }}
{%- endif %}
{% endfor %}
{% if add_generation_prompt %}
{{ '<|im_start|>assistant\n' }}
{% endif %}
This model was converted to GGUF format from suayptalha/HomerCreativeAnvita-Mix-Qw7B using llama.cpp
Refer to the original model card for more details on the model.
- Downloads last month
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4-bit
Model tree for IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF
Base model
suayptalha/HomerCreativeAnvita-Mix-Qw7B
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for IntelligentEstate/Biz_HCA-Mix-Qw7B-iQ4_K_M-GGUF to start chatting