Text Generation
PEFT
Safetensors
GGUF
Transformers
English
Spanish
harbour
fivewin
fwh
lora
sft
trl
unsloth
code-generation
xbase
clipper
conversational
Instructions to use fivetech/Harbour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fivetech/Harbour with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/fivetech/finetune/models/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "fivetech/Harbour") - Transformers
How to use fivetech/Harbour with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="fivetech/Harbour") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fivetech/Harbour", dtype="auto") - llama-cpp-python
How to use fivetech/Harbour with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="fivetech/Harbour", filename="Qwen3.6-35B-A3B-LoRA-Q4_K_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use fivetech/Harbour 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 fivetech/Harbour:Q4_K_M # Run inference directly in the terminal: llama cli -hf fivetech/Harbour:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf fivetech/Harbour:Q4_K_M # Run inference directly in the terminal: llama cli -hf fivetech/Harbour: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 fivetech/Harbour:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf fivetech/Harbour: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 fivetech/Harbour:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf fivetech/Harbour:Q4_K_M
Use Docker
docker model run hf.co/fivetech/Harbour:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use fivetech/Harbour with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fivetech/Harbour" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fivetech/Harbour", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/fivetech/Harbour:Q4_K_M
- SGLang
How to use fivetech/Harbour with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "fivetech/Harbour" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fivetech/Harbour", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "fivetech/Harbour" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fivetech/Harbour", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use fivetech/Harbour with Ollama:
ollama run hf.co/fivetech/Harbour:Q4_K_M
- Unsloth Studio
How to use fivetech/Harbour with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fivetech/Harbour to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fivetech/Harbour to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for fivetech/Harbour to start chatting
- Pi
How to use fivetech/Harbour with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf fivetech/Harbour:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "fivetech/Harbour:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use fivetech/Harbour with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf fivetech/Harbour: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 fivetech/Harbour:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use fivetech/Harbour with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf fivetech/Harbour: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 "fivetech/Harbour: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"
- Docker Model Runner
How to use fivetech/Harbour with Docker Model Runner:
docker model run hf.co/fivetech/Harbour:Q4_K_M
- Lemonade
How to use fivetech/Harbour with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fivetech/Harbour:Q4_K_M
Run and chat with the model
lemonade run user.Harbour-Q4_K_M
List all available models
lemonade list
| #!/usr/bin/env python3 | |
| """ | |
| Harbour Test Battery - Fast version with incremental saving | |
| """ | |
| import json, time, subprocess, requests, sys | |
| from pathlib import Path | |
| from datetime import datetime | |
| OLLAMA_URL = "http://localhost:11434/api/generate" | |
| MODEL = "qwen3.6:35b" | |
| HARBOUR = "/home/fivetech/harbour/bin/linux/gcc/harbour" | |
| WORK_DIR = Path("/home/fivetech/finetune/test_output") | |
| WORK_DIR.mkdir(exist_ok=True) | |
| RESULTS_FILE = Path("/home/fivetech/finetune/test_baseline_100.json") | |
| SYSTEM = """You are an expert Harbour programmer. Write clean, correct, COMPILABLE Harbour code. | |
| Use Hungarian notation: n=numeric, c=character, l=logical, a=array, o=object, d=date. | |
| Use 3-space indentation. | |
| Do NOT include explanations, markdown, or #include. Only raw Harbour code. | |
| End functions with RETURN and END FUNCTION.""" | |
| def query(prompt, timeout=180): | |
| payload = {"model": MODEL, "prompt": prompt, "stream": False, | |
| "options": {"temperature": 0.2, "num_predict": 1500, "top_p": 0.9}} | |
| try: | |
| t0 = time.time() | |
| r = requests.post(OLLAMA_URL, json=payload, timeout=timeout) | |
| d = r.json() | |
| return {"resp": d.get("response",""), "tok": d.get("eval_count",0), | |
| "dur": time.time()-t0, "tps": d.get("eval_count",0)/max(d.get("eval_duration",1)/1e9,.001)} | |
| except Exception as e: | |
| return {"resp":"", "tok":0, "dur":0, "tps":0, "err":str(e)} | |
| def compile_hb(code): | |
| f = WORK_DIR/"test.prg" | |
| f.write_text(code) | |
| try: | |
| r = subprocess.run([HARBOUR, str(f), "-n", "-w"], capture_output=True, text=True, timeout=20) | |
| return r.returncode == 0, (r.stderr or r.stdout).strip()[:400] | |
| except: | |
| return False, "timeout" | |
| def clean(resp): | |
| lines = resp.split('\n') | |
| in_code = False | |
| code = [] | |
| for line in lines: | |
| s = line.strip() | |
| if s.startswith('```'): | |
| in_code = not in_code | |
| continue | |
| if in_code: | |
| code.append(line) | |
| elif not code: | |
| u = s.upper() | |
| if any(u.startswith(k) for k in ['FUNCTION','PROCEDURE','LOCAL','STATIC','#DEFINE','CLASS','METHOD','RETURN','SET','REQUEST','MEMVAR','*']): | |
| code.append(line) | |
| return '\n'.join(code).strip() if code else resp.strip() | |
| def save(results, meta): | |
| with open(RESULTS_FILE, "w") as f: | |
| json.dump({"model":MODEL,"ts":datetime.now().isoformat(),**meta,"results":results}, f, indent=2, ensure_ascii=False) | |
| # 100 tests - proportional to dataset (48 Arrays, 22 OOP, 9 Other, 8 Func, 7 DB, 4 FileIO, 2 Control) | |
| TESTS = [ | |
| # ARRAYS (48) | |
| ("A01","Arrays","Create 2D array","Write a Harbour function that creates a 5x5 multiplication table as 2D array and prints it."), | |
| ("A02","Arrays","AAdd and resize","Write Harbour code creating empty array, adding 100 elements with AAdd, resizing to 50 with ASize."), | |
| ("A03","Arrays","ASort custom","Write a Harbour function sorting array of structures by numeric field using ASort with code block."), | |
| ("A04","Arrays","AScan code block","Write Harbour code using AScan to find first negative number in array. Return index or 0."), | |
| ("A05","Arrays","AFill pattern","Write Harbour code using AFill to initialize array with alternating 1 and 0 values."), | |
| ("A06","Arrays","AINS and ADEL","Write Harbour functions: insert element at position and delete element at position with edge cases."), | |
| ("A07","Arrays","ACopy array","Write Harbour code using ACopy to copy part of one array to another with offset and length."), | |
| ("A08","Arrays","AEval transform","Write Harbour code using AEval to double every element in array in-place."), | |
| ("A09","Arrays","Array join","Write Harbour function joining array elements with delimiter using loop."), | |
| ("A10","Arrays","String split","Write Harbour function splitting CSV string into array handling quoted values."), | |
| ("A11","Arrays","3D array","Write Harbour code creating and accessing 3D array, filling with sequential numbers."), | |
| ("A12","Arrays","Array contains","Write Harbour function checking if array contains value, return TRUE/FALSE."), | |
| ("A13","Arrays","Array unique","Write Harbour function removing duplicates from array returning unique values."), | |
| ("A14","Arrays","Array flatten","Write Harbour function flattening nested arrays into single array."), | |
| ("A15","Arrays","Array reverse","Write Harbour function reversing array in-place."), | |
| ("A16","Arrays","Array sum avg","Write Harbour functions calculating sum and average of numeric array."), | |
| ("A17","Arrays","Array min max","Write Harbour functions finding min and max in array with single pass."), | |
| ("A18","Arrays","Array filter","Write Harbour function filtering array keeping elements matching code block condition."), | |
| ("A19","Arrays","Array map","Write Harbour function mapping array to new array applying code block."), | |
| ("A20","Arrays","Array reduce","Write Harbour function reducing array to single value with accumulator."), | |
| ("A21","Arrays","Hash create","Write Harbour code creating hash with :=, adding keys, retrieving values."), | |
| ("A22","Arrays","Hash iterate","Write Harbour code iterating hash with FOR EACH printing key-value pairs."), | |
| ("A23","Arrays","Hash keys values","Write Harbour code extracting keys and values from hash into arrays."), | |
| ("A24","Arrays","Hash merge","Write Harbour function merging two hashes, second overriding on conflicts."), | |
| ("A25","Arrays","Hash exists","Write Harbour code checking key existence with HB_HHasKey and default value."), | |
| ("A26","Arrays","Hash delete","Write Harbour code deleting key from hash checking existence first."), | |
| ("A27","Arrays","Hash array convert","Write Harbour code converting hash to array of pairs and back."), | |
| ("A28","Arrays","Hash count keys","Write Harbour function counting total keys in hash."), | |
| ("A29","Arrays","Hash filter","Write Harbour function filtering hash keeping entries where value > threshold."), | |
| ("A30","Arrays","Nested hash","Write Harbour code working with nested hashes accessing deeply nested values."), | |
| ("A31","Arrays","FOR EACH array","Write Harbour code using FOR EACH finding longest string in array."), | |
| ("A32","Arrays","FOR EACH hash","Write Harbour code using FOR EACH on hash building comma-separated string."), | |
| ("A33","Arrays","Bubble sort","Implement bubble sort in Harbour for array of numbers with nested loops."), | |
| ("A34","Arrays","Selection sort","Implement selection sort in Harbour finding min and swapping."), | |
| ("A35","Arrays","Insertion sort","Implement insertion sort in Harbour with element shifting."), | |
| ("A36","Arrays","Binary search","Implement binary search in Harbour on sorted array returning index."), | |
| ("A37","Arrays","Array intersection","Write Harbour function returning intersection of two arrays."), | |
| ("A38","Arrays","Array difference","Write Harbour function returning elements in first not in second array."), | |
| ("A39","Arrays","Array chunk","Write Harbour function splitting array into chunks of size N."), | |
| ("A40","Arrays","Array zip","Write Harbour function zipping two arrays into pairs."), | |
| ("A41","Arrays","Array rotate","Write Harbour function rotating array left by N positions."), | |
| ("A42","Arrays","Array compact","Write Harbour function removing NIL elements from array."), | |
| ("A43","Arrays","Array distinct","Write Harbour function returning distinct elements preserving order."), | |
| ("A44","Arrays","Array deep copy","Write Harbour function creating deep copy of nested array."), | |
| ("A45","Arrays","Hash frequency","Write Harbour function counting frequency of array elements using hash."), | |
| ("A46","Arrays","Array group by","Write Harbour function grouping array elements by criterion."), | |
| ("A47","Arrays","Array windows","Write Harbour function creating sliding windows of size N."), | |
| ("A48","Arrays","Array cartesian","Write Harbour function computing cartesian product of two arrays."), | |
| # OOP (22) | |
| ("O01","OOP","Basic class","Write Harbour class Rectangle with DATA, METHOD New, Area, Perimeter."), | |
| ("O02","OOP","Inheritance","Write Harbour classes Animal base and Dog derived with Breed DATA and Speak METHOD."), | |
| ("O03","OOP","Polymorphism","Write Harbour classes Shape Circle Rectangle with area method each."), | |
| ("O04","OOP","Operator overload","Write Harbour class Complex overloading + and * operators."), | |
| ("O05","OOP","Singleton","Implement Singleton pattern in Harbour for Logger class GetInstance method."), | |
| ("O06","OOP","Observer","Implement Observer pattern in Harbour with Subject and Observer classes."), | |
| ("O07","OOP","Factory","Implement Factory pattern creating different shape objects based on input."), | |
| ("O08","OOP","Constructor","Write Harbour class with New constructor and Destroy destructor."), | |
| ("O09","OOP","Stack class","Write Harbour class Stack with Push Pop Peek IsEmpty methods."), | |
| ("O10","OOP","Dictionary","Write Harbour class Dictionary using hash with Add Get Remove Contains."), | |
| ("O11","OOP","Inheritance chain","Write 3-level inheritance Vehicle Car ElectricCar with overriding."), | |
| ("O12","OOP","Abstract class","Write abstract Drawable class with Draw method in Circle Square."), | |
| ("O13","OOP","ToString","Write Harbour class with ToString returning formatted representation."), | |
| ("O14","OOP","CompareTo","Write Harbour class with CompareTo for sorting by field."), | |
| ("O15","OOP","Clone","Write Harbour class with Clone method creating deep copy."), | |
| ("O16","OOP","Iterator","Write Harbour class implementing iteration over collection."), | |
| ("O17","OOP","Builder","Implement Builder pattern constructing complex HTML elements."), | |
| ("O18","OOP","Strategy","Implement Strategy pattern with different sorting strategies."), | |
| ("O19","OOP","Decorator","Implement Decorator pattern wrapping base component."), | |
| ("O20","OOP","Properties","Write Harbour class with property getters and setters."), | |
| ("O21","OOP","Static method","Write Harbour class with CLASSDATA and CLASS factory method."), | |
| ("O22","OOP","Composition","Write Harbour classes using composition Engine inside Car."), | |
| # OTHER (9) | |
| ("X01","Other","Preprocessor defines","Write Harbour preprocessor #define for constants and #ifdef platform detection."), | |
| ("X02","Other","Custom command","Write #xcommand shorthand for declaring variables with initialization."), | |
| ("X03","Other","HB_Is functions","Write validation using HB_IsString HB_IsNumeric HB_IsArray HB_IsNil."), | |
| ("X04","Other","Regex validation","Write Harbour code using HB_RegExCompile HB_RegExMatch to validate emails."), | |
| ("X05","Other","Serialization","Write Harbour code using HB_Serialize HB_Deserialize to save load hash."), | |
| ("X06","Other","File path ops","Write Harbour code using hb_DirBuild hb_FileNameGet hb_PathJoin."), | |
| ("X07","Other","Version check","Write Harbour code using HB_Version to detect version conditionally."), | |
| ("X08","Other","Translation","Write Harbour #translate directives mapping alternative syntax."), | |
| ("X09","Other","Conditional defines","Write Harbour code with nested ifdef ifndef else for feature toggling."), | |
| # FUNCTIONS (8) | |
| ("F01","Functions","Default params","Write Harbour function with default parameter values."), | |
| ("F02","Functions","Recursion","Write recursive Harbour function for factorial."), | |
| ("F03","Functions","Scope demo","Write Harbour code demonstrating LOCAL STATIC PRIVATE PUBLIC scope."), | |
| ("F04","Functions","Code block eval","Write Harbour code using Eval with code blocks and AEval."), | |
| ("F05","Functions","Error handling","Write Harbour function with BEGIN SEQUENCE RECOVER for safe reading."), | |
| ("F06","Functions","Pass by ref","Write Harbour function modifying caller variable with @."), | |
| ("F07","Functions","Variable args","Write Harbour function accepting variable number of arguments."), | |
| ("F08","Functions","Nested calls","Write Harbour code with nested function calls and scope isolation."), | |
| # DATABASE (7) | |
| ("D01","Database","Create DBF","Write Harbour code creating DBF with DBCreate specifying field types."), | |
| ("D02","Database","Open append","Write Harbour code opening DBF with DBUseArea appending records."), | |
| ("D03","Database","Indexing","Write Harbour code creating index with ORDCREATE and DBSeek."), | |
| ("D04","Database","DBEval sum","Write Harbour code using DBEval to sum numeric field."), | |
| ("D05","Database","Filter","Write Harbour code using SET FILTER TO processing filtered records."), | |
| ("D06","Database","Multi-area","Write Harbour code using multiple work areas with SELECT."), | |
| ("D07","Database","Relations","Write Harbour code setting parent-child relation DBSetRelation."), | |
| # FILE I/O (4) | |
| ("I01","File I/O","Text read write","Write Harbour functions for text file R/W using FCreate FOpen FRead FWrite FClose."), | |
| ("I02","File I/O","Line by line","Write Harbour code reading file line by line with FEof."), | |
| ("I03","File I/O","Directory list","Write Harbour code using Directory listing files with pattern."), | |
| ("I04","File I/O","File exists","Write Harbour code checking file existence with File function."), | |
| # CONTROL (2) | |
| ("C01","Control","Complex IF","Write Harbour function nested IF ELSEIF ELSE with AND OR conditions."), | |
| ("C02","Control","Nested loops","Write Harbour code nested FOR loops EXIT LOOP finding combinations."), | |
| ] | |
| print(f"{'='*60}") | |
| print(f"TEST BATTERY: {len(TESTS)} tests | Model: {MODEL}") | |
| print(f"Started: {datetime.now():%Y-%m-%d %H:%M:%S}") | |
| print(f"{'='*60}") | |
| results = [] | |
| pass_c = fail_c = 0 | |
| for i, (tid, cat, name, prompt) in enumerate(TESTS, 1): | |
| sys.stdout.write(f"\r[{i:3d}/{len(TESTS)}] {tid} {name}...") | |
| sys.stdout.flush() | |
| res = query(prompt) | |
| if res.get("err"): | |
| results.append({"id":tid,"cat":cat,"name":name,"ok":False,"err":res["err"],"code":"","tok":0,"tps":0,"dur":0,"lines":0}) | |
| fail_c += 1 | |
| print(f" ERR: {res['err'][:60]}") | |
| save(results, {"pass":pass_c,"fail":fail_c,"rate":pass_c/len(results)*100 if results else 0}) | |
| continue | |
| code = clean(res["resp"]) | |
| ok, cerr = compile_hb(code) | |
| if ok: pass_c += 1 | |
| else: fail_c += 1 | |
| err_short = cerr.split('\n')[0][:80] if cerr and not ok else "" | |
| print(f"\r[{i:3d}/{len(TESTS)}] {tid} {name}... {'PASS' if ok else 'FAIL'} | {code.count(chr(10))+1}L | {res['tok']}t | {res['tps']:.0f}tps | {res['dur']:.1f}s" + (f" | {err_short}" if err_short else "")) | |
| results.append({"id":tid,"cat":cat,"name":name,"ok":ok,"err":cerr[:400],"code":code[:2500],"tok":res["tok"],"tps":res["tps"],"dur":res["dur"],"lines":code.count('\n')+1}) | |
| save(results, {"pass":pass_c,"fail":fail_c,"rate":pass_c/len(results)*100}) | |
| print(f"\n\n{'='*60}") | |
| print(f"SUMMARY") | |
| print(f"{'='*60}") | |
| cats = {} | |
| for r in results: | |
| c = r["cat"] | |
| if c not in cats: cats[c] = [0,0] | |
| cats[c][0 if r["ok"] else 1] += 1 | |
| print(f"\n{'Category':<12} {'Pass':>5} {'Fail':>5} {'Rate':>7}") | |
| print("-"*32) | |
| for c in sorted(cats): | |
| p,f = cats[c] | |
| print(f"{c:<12} {p:>5} {f:>5} {p/(p+f)*100:>6.0f}%") | |
| print(f"\n{'TOTAL':<12} {pass_c:>5} {fail_c:>5} {pass_c/len(results)*100:>6.0f}%") | |
| total_tok = sum(r["tok"] for r in results) | |
| total_dur = sum(r["dur"] for r in results) | |
| print(f"Tokens: {total_tok:,} | Time: {total_dur:.0f}s | TPS: {total_tok/max(total_dur,1):.0f}") | |
| save(results, {"pass":pass_c,"fail":fail_c,"rate":pass_c/len(results)*100,"cats":cats, | |
| "total_tok":total_tok,"total_dur":total_dur}) | |
| print(f"\nSaved: {RESULTS_FILE}") | |