Instructions to use vedantjadhav701/windows_troubleshooting_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use vedantjadhav701/windows_troubleshooting_data 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 vedantjadhav701/windows_troubleshooting_data:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vedantjadhav701/windows_troubleshooting_data:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf vedantjadhav701/windows_troubleshooting_data:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf vedantjadhav701/windows_troubleshooting_data: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 vedantjadhav701/windows_troubleshooting_data:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf vedantjadhav701/windows_troubleshooting_data: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 vedantjadhav701/windows_troubleshooting_data:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf vedantjadhav701/windows_troubleshooting_data:Q4_K_M

Use Docker

docker model run hf.co/vedantjadhav701/windows_troubleshooting_data:Q4_K_M

LM Studio
Jan
Ollama
How to use vedantjadhav701/windows_troubleshooting_data with Ollama:
```
ollama run hf.co/vedantjadhav701/windows_troubleshooting_data:Q4_K_M
```
Unsloth Desktop

How to use vedantjadhav701/windows_troubleshooting_data with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf vedantjadhav701/windows_troubleshooting_data: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": "vedantjadhav701/windows_troubleshooting_data:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use vedantjadhav701/windows_troubleshooting_data with Docker Model Runner:
```
docker model run hf.co/vedantjadhav701/windows_troubleshooting_data:Q4_K_M
```

Lemonade

How to use vedantjadhav701/windows_troubleshooting_data with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull vedantjadhav701/windows_troubleshooting_data:Q4_K_M

Run and chat with the model

lemonade run user.windows_troubleshooting_data-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use vedantjadhav701/windows_troubleshooting_data with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf vedantjadhav701/windows_troubleshooting_data: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 vedantjadhav701/windows_troubleshooting_data:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use vedantjadhav701/windows_troubleshooting_data with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf vedantjadhav701/windows_troubleshooting_data: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 "vedantjadhav701/windows_troubleshooting_data: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"

windows_troubleshooting_data / tokenizer_config.json

vedantjadhav701

(Trained with Unsloth)

600c987 verified 3 months ago

Raw History Blame Contribute Delete

5.87 kB

{
  "add_prefix_space": null,
  "backend": "tokenizers",
  "bos_token": null,
  "eos_token": "<|im_end|>",
  "model_max_length": 1000000000000000019884624838656,
  "pad_token": "<|vision_pad|>",
  "tokenizer_class": "Qwen2Tokenizer",
  "unk_token": null,
  "added_tokens_decoder": {
    "151643": {
      "content": "<|im_end|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151644": {
      "content": "<|im_start|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151645": {
      "content": "<|endoftext|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151646": {
      "content": "<|object_ref_start|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151647": {
      "content": "<|object_ref_end|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151648": {
      "content": "<|box_start|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151649": {
      "content": "<|box_end|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151650": {
      "content": "<|quad_start|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151651": {
      "content": "<|quad_end|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151652": {
      "content": "<|vision_start|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151653": {
      "content": "<|vision_end|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151654": {
      "content": "<|vision_pad|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151655": {
      "content": "<|image_pad|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151656": {
      "content": "<|video_pad|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": true
    },
    "151657": {
      "content": "<tool_call>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151658": {
      "content": "</tool_call>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151659": {
      "content": "<|fim_prefix|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151660": {
      "content": "<|fim_middle|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151661": {
      "content": "<|fim_suffix|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151662": {
      "content": "<|fim_pad|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151663": {
      "content": "<|repo_name|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151664": {
      "content": "<|file_sep|>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151665": {
      "content": "<tool_response>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151666": {
      "content": "</tool_response>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151667": {
      "content": "<think>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    },
    "151668": {
      "content": "</think>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": false,
      "special": false
    }
  },
  "chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% endif %}"
}

	{
	"add_prefix_space": null,
	"backend": "tokenizers",
	"bos_token": null,
	"eos_token": "<\|im_end\|>",
	"model_max_length": 1000000000000000019884624838656,
	"pad_token": "<\|vision_pad\|>",
	"tokenizer_class": "Qwen2Tokenizer",
	"unk_token": null,
	"added_tokens_decoder": {
	"151643": {
	"content": "<\|im_end\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151644": {
	"content": "<\|im_start\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151645": {
	"content": "<\|endoftext\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151646": {
	"content": "<\|object_ref_start\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151647": {
	"content": "<\|object_ref_end\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151648": {
	"content": "<\|box_start\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151649": {
	"content": "<\|box_end\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151650": {
	"content": "<\|quad_start\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151651": {
	"content": "<\|quad_end\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151652": {
	"content": "<\|vision_start\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151653": {
	"content": "<\|vision_end\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151654": {
	"content": "<\|vision_pad\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151655": {
	"content": "<\|image_pad\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151656": {
	"content": "<\|video_pad\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"151657": {
	"content": "<tool_call>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151658": {
	"content": "</tool_call>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151659": {
	"content": "<\|fim_prefix\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151660": {
	"content": "<\|fim_middle\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151661": {
	"content": "<\|fim_suffix\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151662": {
	"content": "<\|fim_pad\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151663": {
	"content": "<\|repo_name\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151664": {
	"content": "<\|file_sep\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151665": {
	"content": "<tool_response>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151666": {
	"content": "</tool_response>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151667": {
	"content": "<think>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"151668": {
	"content": "</think>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	}
	},
	"chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<\|im_start\|>user\n' + message['content'] + '<\|im_end\|>\n'}}{% elif message['role'] == 'assistant' %}{{'<\|im_start\|>assistant\n' + message['content'] + '<\|im_end\|>\n' }}{% else %}{{ '<\|im_start\|>system\n' + message['content'] + '<\|im_end\|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<\|im_start\|>assistant\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<\|im_start\|>user\n' + message['content'] + '<\|im_end\|>\n'}}{% elif message['role'] == 'assistant' %}{{'<\|im_start\|>assistant\n' + message['content'] + '<\|im_end\|>\n' }}{% else %}{{ '<\|im_start\|>system\n' + message['content'] + '<\|im_end\|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<\|im_start\|>assistant\n' }}{% endif %}{% endif %}"
	}