Text Generation
GGUF
English
Chinese
function-calling
tool-use
agent
bfcl-eval
mistral3
conversational
Instructions to use OculusMindAI/OculusMind-ToolCall-8B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 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 OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf OculusMindAI/OculusMind-ToolCall-8B-v1: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 OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf OculusMindAI/OculusMind-ToolCall-8B-v1: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 OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
Use Docker
docker model run hf.co/OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OculusMindAI/OculusMind-ToolCall-8B-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OculusMindAI/OculusMind-ToolCall-8B-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
- Ollama
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with Ollama:
ollama run hf.co/OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
- Unsloth Desktop
- Pi
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OculusMindAI/OculusMind-ToolCall-8B-v1: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": "OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with Docker Model Runner:
docker model run hf.co/OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
- Lemonade
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
Run and chat with the model
lemonade run user.OculusMind-ToolCall-8B-v1-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OculusMindAI/OculusMind-ToolCall-8B-v1: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 OculusMindAI/OculusMind-ToolCall-8B-v1:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use OculusMindAI/OculusMind-ToolCall-8B-v1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf OculusMindAI/OculusMind-ToolCall-8B-v1: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 "OculusMindAI/OculusMind-ToolCall-8B-v1: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"
Successor renamed to OculusMind-ToolCall-8B-v2: new_version, the links under the title, CHANGELOG 1.3
Browse files- CHANGELOG.md +12 -0
- README.md +3 -3
CHANGELOG.md
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@@ -65,6 +65,18 @@ Outstanding before release — the remaining items need an owner decision, and
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---
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## [1.2] — 2026-10-07
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Documentation only. **The weights are byte-identical to 1.0.**
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---
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## [1.3] — 2026-10-08
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Documentation only. **The weights are byte-identical to 1.0.**
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### Successor renamed to OculusMind-ToolCall-8B-v2
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The successor repository is now
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[`OculusMindAI/OculusMind-ToolCall-8B-v2`](https://huggingface.co/OculusMindAI/OculusMind-ToolCall-8B-v2),
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continuing this repository's naming; the model is still called Pico V2. It was
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first published as `OculusMindAI/Pico-V2`, and that address redirects to the new
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one. `new_version` and the links under the title now use the new name.
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## [1.2] — 2026-10-07
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Documentation only. **The weights are byte-identical to 1.0.**
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README.md
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license: apache-2.0
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base_model: mistralai/Ministral-3-8B-Instruct-2512-BF16
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base_model_relation: finetune
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new_version: OculusMindAI/
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datasets:
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- Team-ACE/ToolACE
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- interstellarninja/hermes_reasoning_tool_use
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*An OculusMind.AI model, fine-tuned from Mistral AI's Ministral-3-8B-Instruct-2512.*
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> **Superseded by [Pico V2](https://huggingface.co/OculusMindAI/
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> second generation of this series: the same base model, trained only on
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> OculusMind.AI production agent traffic and selected under a tool-call loop
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> gate. Use Pico V2 for new work. This repository stays available with its
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base — both directions are in [§3](#3-primary-evidence--bfcl-v4), in the same
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tables. It did not meet our own internal promotion rule;
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[§7](#7-the-promotion-rule-and-why-this-model-did-not-meet-it) gives that in
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full. Its successor, [Pico V2](https://huggingface.co/OculusMindAI/
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This card exists so that a business evaluator, or their engineer, can check our
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license: apache-2.0
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base_model: mistralai/Ministral-3-8B-Instruct-2512-BF16
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base_model_relation: finetune
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new_version: OculusMindAI/OculusMind-ToolCall-8B-v2
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datasets:
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- Team-ACE/ToolACE
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- interstellarninja/hermes_reasoning_tool_use
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*An OculusMind.AI model, fine-tuned from Mistral AI's Ministral-3-8B-Instruct-2512.*
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> **Superseded by [OculusMind-ToolCall-8B-v2 ("Pico V2")](https://huggingface.co/OculusMindAI/OculusMind-ToolCall-8B-v2)**, the
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> second generation of this series: the same base model, trained only on
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> OculusMind.AI production agent traffic and selected under a tool-call loop
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> gate. Use Pico V2 for new work. This repository stays available with its
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base — both directions are in [§3](#3-primary-evidence--bfcl-v4), in the same
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tables. It did not meet our own internal promotion rule;
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[§7](#7-the-promotion-rule-and-why-this-model-did-not-meet-it) gives that in
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full. Its successor, [OculusMind-ToolCall-8B-v2 ("Pico V2")](https://huggingface.co/OculusMindAI/OculusMind-ToolCall-8B-v2), is published.
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This card exists so that a business evaluator, or their engineer, can check our
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