Instructions to use mikillicious/bim-wiki-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use mikillicious/bim-wiki-chat 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 mikillicious/bim-wiki-chat:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mikillicious/bim-wiki-chat:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mikillicious/bim-wiki-chat:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mikillicious/bim-wiki-chat: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 mikillicious/bim-wiki-chat:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mikillicious/bim-wiki-chat: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 mikillicious/bim-wiki-chat:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mikillicious/bim-wiki-chat:Q4_K_M

Use Docker

docker model run hf.co/mikillicious/bim-wiki-chat:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use mikillicious/bim-wiki-chat with Ollama:
```
ollama run hf.co/mikillicious/bim-wiki-chat:Q4_K_M
```
Unsloth Desktop

How to use mikillicious/bim-wiki-chat with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mikillicious/bim-wiki-chat:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mikillicious/bim-wiki-chat:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use mikillicious/bim-wiki-chat with Docker Model Runner:
```
docker model run hf.co/mikillicious/bim-wiki-chat:Q4_K_M
```

Lemonade

How to use mikillicious/bim-wiki-chat with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mikillicious/bim-wiki-chat:Q4_K_M

Run and chat with the model

lemonade run user.bim-wiki-chat-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use mikillicious/bim-wiki-chat with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mikillicious/bim-wiki-chat: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 mikillicious/bim-wiki-chat:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mikillicious/bim-wiki-chat with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mikillicious/bim-wiki-chat:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "mikillicious/bim-wiki-chat:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

bim-wiki-chat

A copy of the GGUF build of ornith-ai/Ornith-1.0-35B, as distributed in the Ollama library under the name ornith:35b.


file	`ornith-1.0-35b-Q4_K_M.gguf`
SHA-256	`6540411d9e4ca638983e905959188e1be74db7ff62151c69d71a6f2748584f68`
source	Ollama library, `ornith:35b`
license	MIT, see `LICENSE`

The files system and params are the system prompt and sampling parameters that come with the model in the Ollama library.

The files are redistributed as obtained from the source, without changes. All credit for the model belongs to its authors. For usage and details, see the original model card.

Downloads last month: 64

GGUF

Model size

35B params

Architecture

qwen35moe

Hardware compatibility

4-bit

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