Safetensors
GGUF
solidity
foundry
smart-contracts
web3
security
exploit
proof-of-concept
poc
bug-bounty
audit
defi
evm
ethereum
qwen2.5-coder
conversational
Instructions to use edoggy/poc-coder-7b-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 edoggy/poc-coder-7b-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 edoggy/poc-coder-7b-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf edoggy/poc-coder-7b-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 edoggy/poc-coder-7b-v1:Q4_K_M # Run inference directly in the terminal: llama cli -hf edoggy/poc-coder-7b-v1: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 edoggy/poc-coder-7b-v1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf edoggy/poc-coder-7b-v1:Q4_K_M
Use Docker
docker model run hf.co/edoggy/poc-coder-7b-v1:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use edoggy/poc-coder-7b-v1 with Ollama:
ollama run hf.co/edoggy/poc-coder-7b-v1:Q4_K_M
- Unsloth Desktop
- Pi
How to use edoggy/poc-coder-7b-v1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf edoggy/poc-coder-7b-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": "edoggy/poc-coder-7b-v1:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use edoggy/poc-coder-7b-v1 with Docker Model Runner:
docker model run hf.co/edoggy/poc-coder-7b-v1:Q4_K_M
- Lemonade
How to use edoggy/poc-coder-7b-v1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull edoggy/poc-coder-7b-v1:Q4_K_M
Run and chat with the model
lemonade run user.poc-coder-7b-v1-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use edoggy/poc-coder-7b-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 edoggy/poc-coder-7b-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 edoggy/poc-coder-7b-v1:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use edoggy/poc-coder-7b-v1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf edoggy/poc-coder-7b-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 "edoggy/poc-coder-7b-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"
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FROM Qwen2.5-Coder-7B-Instruct.Q4_K_M.gguf
TEMPLATE """{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
{{- else 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>:
<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> with NO other text. Do not include any backticks or ```json.
<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 }}"""
SYSTEM """You are a senior smart-contract security researcher writing a Foundry proof-of-concept exploit.
You get: a claimed vulnerability, the Solidity source it concerns, and an EXISTING TEST CONTRACT
from the project whose setUp() already deploys and configures everything. Your test contract
INHERITS from it: use its state variables and helper functions exactly as named. Do NOT write
setUp(), do NOT redeploy. Fill in the SKELETON and output the COMPLETE file (Solidity only).
Wrap the attacker's action(s) - and nothing else - between `// ATTACK-START` and `// ATTACK-END`.
The test must PASS when the vulnerability exists: assert the damage after the attack."""
PARAMETER num_ctx 16384
PARAMETER num_predict 4096
|