GGUF
English
text-generation-inference
unsloth
qwen2.5
ollama
function-calling
agent
chain-of-thought
conversational
Instructions to use IldaLabs/Agent-Zero-0.5b 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 IldaLabs/Agent-Zero-0.5b 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 IldaLabs/Agent-Zero-0.5b:Q4_K_M # Run inference directly in the terminal: llama cli -hf IldaLabs/Agent-Zero-0.5b:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf IldaLabs/Agent-Zero-0.5b:Q4_K_M # Run inference directly in the terminal: llama cli -hf IldaLabs/Agent-Zero-0.5b:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf IldaLabs/Agent-Zero-0.5b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf IldaLabs/Agent-Zero-0.5b:Q4_K_M
Use Docker
docker model run hf.co/IldaLabs/Agent-Zero-0.5b:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use IldaLabs/Agent-Zero-0.5b with Ollama:
ollama run hf.co/IldaLabs/Agent-Zero-0.5b:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use IldaLabs/Agent-Zero-0.5b with Docker Model Runner:
docker model run hf.co/IldaLabs/Agent-Zero-0.5b:Q4_K_M
- Lemonade
How to use IldaLabs/Agent-Zero-0.5b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull IldaLabs/Agent-Zero-0.5b:Q4_K_M
Run and chat with the model
lemonade run user.Agent-Zero-0.5b-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 1,802 Bytes
1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 1bde350 0169a37 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | FROM Qwen2.5-0.5B-Instruct.Q4_K_M.gguf
TEMPLATE """{{- if .Messages }}
{{- if or .System .Tools }}<|im_start|>system
{{- if .System }}{{ .System }}{{- end }}
{{- if .Tools }}
# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools> XML tags:
<tools>
{{- range .Tools }}{"type": "function", "function": {{ .Function }}}{{- end }}
</tools>
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
<tool_call>{"name": <function-name>, "arguments": <args-json-object>}</tool_call>
{{- end }}<|im_end|>
{{ end }}
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}{{ end }}
</tool_call>
{{- end }}
{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
<tool_response>{{ .Content }}</tool_response><|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
{{- else }}
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}
{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}
{{ .Response }}
{{ if .Response }}<|im_end|>{{ end }}"""
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
PARAMETER temperature 1.5
PARAMETER min_p 0.1
SYSTEM """You are an autonomous agent. You can think using <think> tags. You can call tools using <tool_call> tags. Wait for the <tool_response> before answering.""" |