messages list | tier int64 | src string |
|---|---|---|
[
{
"role": "user",
"content": "…[earlier truncated]…\n assert command[-1] == \\\"do the thing\\\"\\n\\n\\ndef test_build_agent_command_ …[truncated]\nResult: File created successfully at: /home/user/MythosMini/tests/test_ralph_claude_mode.py (file state is current in your context — no need to Read it back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n A...\nFAILED tests/test_ralph_claude_mode.py::test_ask_use_claude_not_sure - Attrib...\n7 failed in 0.10s\nAssistant: All 7 fail as expected. Now the implementation:\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n(\"Resume that previous work? Say no if you don't know what it is. [y/N] \")\n675\t if wants_resume(answer):\n676\t goal = state[\"goal\"]\n677\t print(f\"resuming saved run — goal: {goal}\")\n678\t else:\n679\t …[trunc... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n2\tFREEBUFF_TAKEOVER_MARKER = \"Freebuff is already running\"\n33\tFREEBUFF_POLL_SECONDS = 30.0\n34\tFREEBUFF_TASK_TIMEOUT_SECONDS = 2400.0\n35\tREPO_ROOT = Path(__file_ …[truncated]\nAssistant: Writing the proving tests first per the testing rule:\nAssis... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\": false, \"file_path\": \"/home/user/MythosMini/ralph.py\", \"old_string\": \"OPENCODE_MODEL = \\\"opencode/deepseek-v4-flash-free\\\"\", \"new_string\": \"OPENCODE_MODEL = \\\"opencode/deepseek-v4-flash-free\\\"\\nCLAUDE_MODEL = \\\"claude-fable-5\\\"\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nde.py -q 2>&1 | tail -2 && make fix > /dev/null 2>&1; make lint > /tmp/lint3.out 2>&1; echo \\\"lint exit $?\\\"; tail -3 /tmp/lint3.out; make test 2>&1 | tail -1\", \"description\": \"Run new tests, lint, full suite\"}\nResult: ....... ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsk(tasks_markdown: str) -> str | None:\n198:def verification_feedback(verifier_output: str) -> str | None:\n206:def task_feedback_for(state: RalphState, task: str) …[truncated]\nAssistant action: Read {\"file_path\": \"/home/user/MythosMini/ralph.py\", \... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "in the ralph section, make a interactive prompt that asks if you want to use claude, then are signed into claude, then asks are you sure (it will use fable 5, very expenbsive). If its all agreed to, it should run this. claude -p \"[prompt for model here]\" --model claude-fable-... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nnon-interactive opencode session (`opencode run --print-logs --log-level ERROR --model opencode/deepseek-v4-flash-free <prompt>`) from the repo root with no timeout, streaming merged stdout+stderr line by line. On the first line indicating a rate limit it... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n str) -> None:\n640\t consecutive_failures = 0\n641\t state = load_state() or default_state(goal)\n642\t for iteration in range(1, MAX_ITERATIONS + 1):\n643\t verify_pending_freebuff_tasks(goal, state, iteration)\n644\t if not TASKS... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "once claude gets a error about usage exeeded then fallback to opencode, then freebuff. Senario 1: claude runs -> usage limit gone until 8:30 -> opencode runs -> gone until 9:30 -> freebuff runs until 8:30 and the loop continues but its smart and never goes to timed out options.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nimport pytest\\n\\nimport ralph\\n\\nCLAUDE_LIMIT_LINE = \\\"Claude usage limit reached. Your limit will reset at 8:30pm (America/Chicago)\\\"\\n\\n\\ndef reset_limits(monkeypatch: pytest.MonkeyPatch) -> None:\\n monkeypatch.setattr(ralph, \\\"agent_li... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nASKS_FILE.read_text()) > 0:\n546\t remaining = count_incomplete_tasks(TASKS_FILE.read_text())\n547\t print(f\"plan ready: {remaining} open tasks in {TASKS_FILE} (planned by freebuff)\")\n548\t return\n549\t ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nch.group(1))\\n minute = int(match.group(2) or 0)\\n meridiem = (match.group(3) or \\\"\\\").lower()\\n if meridiem == \\\"pm\\\" and hour < 12:\\n hour += 12\\n if meridiem == \\\"am\\\" and hour == 12:\\n hour = 0\\n try:\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nzoneinfo import ZoneInfo, ZoneInfoNotFoundError\"}\nResult: The file /home/user/MythosMini/ralph.py has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Edit {\"replace_all\": false, \"file_pa... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nalueError):\\n return DEFAULT_RATE_LIMIT_WAIT_SECONDS\\n current = datetime.fromtimestamp(now if now is not Non …[truncated]\nResult: The file /home/user/MythosMini/ralph.py has been updated successfully. (file state is current in your context —... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\new_string\": \"RATE_LIMIT_PATTERN = re.compile(\\n r\\\"rate.?limit|RateLimitError|statusCode\\\\W+429|too many requests|quota|usage limit reached\\\",\\n re.IGNORECASE,\\n)\\nCLAUDE_LIMIT_PATTERN = re.compile(\\n r\\\"Claude usage limit reached\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nfter_seconds = (\\n extract_retry_after_seconds(line) or DEFAULT_RATE_LIMIT_WAIT_SECONDS\\n )\\n print(\\\"rate limit detected — ending this opencode session\\\", flush=True)\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nOGS_DIR.mkdir(parents=True, exist_ok=True)\\n command = build_agent_command(prompt)\", \"new_string\": \"def run_opencode(prompt: str, log_name: str) -> tuple[int, str, int | None]:\\n LOGS_DIR.mkdir(parents=True, exist_ok=True)\\n command = buil... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nlane/MythosMini/tests/test_ralph_agent_fallback.py (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"python3 -m pytest tests/test_ralph_agent_fallback.py -q 2>&1 | tail -2\", \"description\": \"See f... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrt Path\n9\tfrom typing import TypedDict\n10\t\n11\t\n12\tclass RalphState(TypedDict):\n13\t goal: str\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/ralph.py\", \"old_string\": \"import json\\nimport os\\nimpor... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns not None:\\n handle_rate_limit(goal)\\n if TASKS_FILE.is_file() and count_total_tasks(TASKS_FILE.read_text()) > 0:\"}\nResult: The file /home/user/MythosMini/ralph.py has been updated successfully. (file state is current in your co... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.py: function 'parse_claude_reset_seconds'\nE SystemExit: error: planning failed three times; inspect ralph/logs/ and rerun\nFAILED tests/e2e/test_planning_rate_limit_handoff.py::test_rate_limited_planning_falls_through_to_freebuff_plan\n===========... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nun_opencode(prompt: str, log_name: str) -> tuple[int, str, int | None]:\n19\t return 1, \"statusCode 429 Rate limit exceeded\", 1\n20\t\n21\t def fake_start_session() -> bool:\n22\t tasks_file.write_text(\"- [ ] create the file — write he... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nentation.\", \"new_string\": \"**Purpose:** Builds the argv for one non-interactive agent session: `claude -p <prompt> --model claude-fable-5` when `cli_agent()` selects claude (claude mode on and not rate limited …[truncated]\nResult: The file /home/user... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\\", 1)\\n return 1, \\\"statusCode 429 Rate limit exceeded\\\", 1\"}\nResult: The file /home/user/MythosMini/tests/e2e/test_planning_rate_limit_handoff.py has been updated successfully. (file state is current in your context — no need to Read it ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n/functions.md has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"grep -n \\\"### rate_limit_handoff — ralph.py\\\" /home/user/MythosMini/docs/functions.md | head -1\", \... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?"
},
{
"role": "assistant",
"content": "<think>\nThe user asked: “When the model is training, it says something like 750M/1.00G. Can you explain what both of these ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\"### parse_claude_reset_seconds — ralph.py\\n\\n**Purpose:** Parses the claude CLI usage-limit message (\\\"Claude usage limit reached. Your limit will reset at [TIME] ([TIMEZONE])\\\") and returns the seconds until that reset. Handles \\\"8pm\\\", \\\"8... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?\nAssistant action: Bash {\"command\": \"grep -rn \\\"1.00G\\\\|/1\\\\.\\\\|tokens_seen\\\\|progress\\\" /home/user/MythosMini --include=*.py -l | head; grep -rn \\\"G\\\\b\\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?\nAssistant action: Bash {\"command\": \"grep -rn \\\"1.00G\\\\|/1\\\\.\\\\|tokens_seen\\\\|progress\\\" /home/user/MythosMini --include=*.py -l | head; grep -rn \\\"G\\\\b\\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?\nAssistant action: Bash {\"command\": \"grep -rn \\\"1.00G\\\\|/1\\\\.\\\\|tokens_seen\\\\|progress\\\" /home/user/MythosMini --include=*.py -l | head; grep -rn \\\"G\\\\b\\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n Builds the argv for one non-interactive agent session: `claude -p <prompt> --model claude-fable-5` when the user opted into claude mode (module global `claude_mode_enabled`), otherwise `opencode run --print-logs --log-level ERROR --model opencode/deepsee... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?\nAssistant action: Bash {\"command\": \"grep -rn \\\"1.00G\\\\|/1\\\\.\\\\|tokens_seen\\\\|progress\\\" /home/user/MythosMini --include=*.py -l | head; grep -rn \\\"G\\\\b\\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nck.py tests/test_ralph_claude_mode.py -q 2>&1 | tail -3\", \"description\": \"Run new and existing claude-mode tests\"}\nResult: .................... [100%]\n20 passed in 0.06s\nAssistant action: Bash {\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nesume_clock}\\\",\\n flush=True,\\n )\"}\nResult: The file /home/user/MythosMini/ralph.py has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Edit {\"replace_all\": false, \"file_pa... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "When the model is training, it says something like 750M/1.00G Can you explain what both of these mean?\nAssistant action: Bash {\"command\": \"grep -rn \\\"1.00G\\\\|/1\\\\.\\\\|tokens_seen\\\\|progress\\\" /home/user/MythosMini --include=*.py -l | head; grep -rn \\\"G\\\\b\\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Hey there! Please read agents.md, read all files it wants you to, and follow it word for word. TASK: Build a basic training script for a 1M paramater model, it should be hyper effecent, with paramaters. HOW: read plan.md. DATASET: fineweb-edu with quality limit, only do above 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n to update\n6\t\n7\t- **Add a function** → add its entry before the task is done.\n8\t- **Modify a function** → update its entry, including the Last modified line, in the same session.\n9\t- **Delete a function** → delete its entry.\n10\t- Keep entries gr... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nthe user before touching it.\n11\t\n12\t## Commits\n13\t\n14\t- Commit after every small unit of work that leaves the repo in a working state: a function added, a …[truncated]\nAssistant action: Bash {\"command\": \"nvidia-smi 2>&1 | head -30; echo ---; ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nand files\"}\nResult: {\n \"_id\": \"6a15bfda227670d12fe28833\",\n \"id\": \"Glint-Research/Tiny-ML-Leaderboard\",\n \"sdk\": \"static\",\n \"likes\": 15,\n \"tags\": [\n \"static\",\n \"region:us\"\n ],\n \"private\": f... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrom …[truncated]\nAssistant: Static space; data likely embedded in index.html. Inspect.\nAssistant action: Bash {\"command\": \"curl -sL -m 30 \\\"https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/raw/main/index.html\\\" -o /tmp/lb_index.ht... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nuration = parseFloat(root.dataset.duration || '0.9');\n560: const pathStagger = parseFloat(root.dataset.pathStagger || '0.19');\n561: const strokeWidth = parseFloat(root.dataset.strokeWidth || '0.4');\n562: const splitPieces = parseInt(root... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\": \"grep -n -iE \\\"wikitext|blimp|arc|score|tbody|<tr|fetch\\\\(\\\" /tmp/lb_index.html | head -40\", \"description\": \"Find score data in leaderboard html\"}\nResult: 291:tbody tr { transition: background var(--transition); }\n667: <li>For Wi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n Model makers can submit their model's benchmarks before the official release so it appears on the leaderboard immediately when announced. The <strong>Unknown</strong> tag is temporary — once you DM <strong>glintresearch</strong> on Discord we can update ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n: 130}\nResult: 826\t </footer>\n827\t</div>\n828\t</div>\n829\t<script>\n830\tconst models = [\n831\t {\n832\t name: 'MicroSupra-1k',\n833\t org: 'supralabs',\n834\t params: '1K',\n835\t blimp: 58.61,\n836\t arc: 26.39,\n837\t wiki: 4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nat the end. Rules:\n12\t\n13\t- Append-only. Correct a wrong past entry with a new entry that references the old one by timestamp; never edit or delete history.\n14\t- Absolute timestamps, never \"today\" or \"earlier\".\n15\t- Reference code as `path:lin... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nML-Leaderboard/tree/main\\\" | python3 -m json.tool | head -60\", \"description\": \"Inspect leaderboard space metadata and files\"}\nResult: {\n \"_id\": \"6a15bfda227670d12fe28833\",\n \"id\": \"Glint-Research/Tiny-ML-Leaderboard\",\n \"sdk\": ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n org: 'supralabs',\n860\t params: '168K',\n861\t blimp: 53.5,\n862\t arc: 26.8,\n863\t wiki: 7.79,\n864\t tokens: '—',\n865\t releaseDate: '2026-05-12',\n866\t li …[truncated]\nAssistant: Data embedded as JS array. Find the overall-... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n formula lines after data block\"}\nResult: 1314:function parseParams(s) {\n1326: .map(m => Math.log(Math.min(m.wiki, WIKI_PPL_CAP)));\n1327:const wikiMinLog = Math.min(...wikiScoreLogs);\n1328:const wikiMaxLog = Math.max(...wikiScoreLogs);\n1332: const... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\np -n \\\"const \\\\|var \\\\|let \\\\|MODELS\\\\|models *=\\\" /tmp/lb_index.html | head -20\", \"description\": \"Fetch leaderboard index.html and find embedded data shape\"}\nResult: 80822 /tmp/lb_index.html\n===\n554: const script = document.curre... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nific ranking.</strong> Glint Research holds #1 in efficiency but is #5 in overall score.\n712: Switch to <em>Overall Score</em> to rank by raw performance.\n724: <option value=\"score\">Overall Score</option>\n725: <option value... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n const MAX_SEGMENTS = 2600;\n570: const shapes = [...svg.querySelectorAll('path,line,polyline,polygon,circle,ellipse,rect')];\n572: const candidates = shapes.filter((el, index) => {\n573: const d = (el.getAttribute('d') || '').replace(/\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nSSISTANT (tool call) TaskCreate input={\"subject\": \"Build 1M-param model per plan.md\", \"description\": \"Byte-level vocab, prelude/shared-looped/coda blocks, per-loop LoRA, RMSNorm+RoPE+SwiGLU, tied embeddings, ~1M params. Tests prove param count, for... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nog) { v = Math.log(v); mn = Math.log(mn); mx = Math.log(mx); }\n1374: const a = Math.pow(Math.max(0, Math.min(1, p)), 2.5);\n1375: const r = Math.round(worstGreen[0] + (bestGreen[0] - worstGreen[0]) * a);\n1376: const g = Math.round(worstGreen[1] + (be... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nion, sequence packing, multi-worker prefetch, token budget accounting. Tests with fixture.\"}\nResult: Task #5 created successfully: Build fineweb-edu streaming data pipeline\nAssistant action: TaskCreate {\"subject\": \"Build training loop + checkpointin... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ndules with tests\nAssistant action: TaskCreate {\"subject\": \"Build hardware detect + autotune modules\", \"description\": \"Device detection (CUDA/CPU, free VRAM via mem_get_info respecting other processes), runtime batch-size throughput autotuner, OOM ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\niki, WIKI_PPL_CAP)));\n1327:const wikiMinLog = Math.min(...wikiScoreLogs);\n1328:const wikiMaxLog = Math.max(...wikiScoreLogs);\n1332: const cappedLog = Math.log(Math.min(m.wiki, WIKI_PPL_CAP));\n1333: const normalized = 1 - ((cappedLog - wikiMinLog) / ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ndataclass(frozen=True)\\nclass LeaderboardEntry:\\n name: str\\n params: float\\n blimp: float | None\\n arc: float | None\\n wiki: float | None\\n\\n\\ndef parse_params_text(text: str) -> float:\\n cleaned = text.strip().upper().replace... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\n raise ValueError(f\\\"expected a parameter count like '1M', got {text!r}\\\")\\n multip …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/leaderboard/entries.py (file state is current in your context — ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n#8 created successfully: Build SLERP merge + tournament loop\nAssistant action: TaskCreate {\"subject\": \"Build train.py entry + e2e test\", \"description\": \"python3 train.py [billions] [quality>=4 default]; full flow: leaderboard pull, system benchmar... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nicroSupra-1k'\n842\t }\n843\t },\n844\t {\n845\t name: 'Glint-0.1',\n846\t org: 'compactai',\n847\t params: '1M',\n848\t blimp: 46.7,\n849\t arc: 21.0,\n850\t wiki: null,\n851\t tokens: '~100M',\n852\t releaseDate: '2026-03-09... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nc \\\"import torch; print(torch.__version__, torch.cuda.is_available())\\\"\", \"description\": \"Verify installed deps and CUDA in venv\"}\nResult: datasets 5.0.0\nhuggingface_hub 1.18.0\nnumpy 2.4.6\ntorch ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nled; venv CUDA works. Pin them.\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/requirements.txt\", \"content\": \"--extra-index-url https://download.pytorch.org/whl/cu128\\npytest==9.0.3\\nruff==0.15.16\\nmypy==2.1.0\\ntorch==2.10.0+cu12... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n2\\nnumpy==2.4.6\\nhuggingface_hub==1.18.0\\n\"}\nResult: <tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>\nAssistant action: Bash {\"command\": \"printf -- '--extra-index-url https://download.pytorch.org/wh... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns.txt\", \"content\": \"--extra-index-url https://download.pytorch.org/whl/cu128\\npytest==9.0.3\\nruff==0.15.16\\nmypy==2.1.0\\ntorch==2.10.0+cu128\\ndatasets==5.0.0\\ntqdm==4.68.2\\nnumpy==2.4.6\\nhuggingface_hub==1.18.0\\n\"}\nResult: <tool_use_error>F... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nID = 256\\n\\nLEADERBOARD_URL = (\\n \\\"https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/raw/main/index.html\\\"\\n)\\nWIKI_PPL_CAP = 500.0\\n\\nFINEWEB_DATASET = \\\"HuggingFaceFW/fineweb-edu\\\"\\nFINEWEB_CONFIG = \\\"sample-100BT\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nank_of\\nfrom src.mythosmini.leaderboard.scoring import (\\n build_wiki_normalization,\\n efficiency_score,\\n overall_score,\\n wiki_score,\\n)\\n\\nFIXTURE = Path(__file__).parent / \\\"fixtures\\\" / \\\"leaderboard_index.html\\\"\\n\\n\\nd... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nor.URLError, TimeoutError, OSError) as error:\\n if cache_pa …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/leaderboard/fetch.py (file state is current in your context — no need to Read it back)\nAssistant ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ni.config import LEADERBOARD_URL\\nfrom src.mythosmini.leaderboard.entries import LeaderboardEntry, parse_leaderboard_html\\n\\nFETCH_TIMEOUT_SECONDS = 30.0\\n\\n\\ndef download_leaderboard_html(url: str = LEADERBOARD_URL) -> str:\\n request = urllib.re... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nmythosmini.leaderboard.entries import LeaderboardEntry\\n\\n\\n@dataclass(frozen=True)\\nclass WikiNormalization:\\n min_log: float\\n max_log: float\\n\\n\\ndef build_wiki_normalization(entries: list[LeaderboardEntry]) -> WikiNormalization:\\n l... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n}\nResult: Task #11 created successfully: Run full 2B-token training + benchmark + SLERP, record scores\nAssistant: Tasks created. Dependencies installing in background. Starting task 2: config + leaderboard modules.\nAssistant action: TaskUpdate {\"taskI... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\neInfo:\\n cpu_threads = os.cpu_count() or 1\\n if torch.cuda.is_available():\\n free_bytes, total_bytes = torch.cuda.mem_get_info()\\n properties = torch.cuda.get_device_properties(0)\\n return DeviceInfo(\\n device=\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n overall_score,\\n wiki_score,\\n)\\n\\nFIXTURE = Path(__file__).parent / \\\"fixtures\\\" / \\\"leaderboard_index.html\\\"\\n\\n\\ndef load_entries() -> list[LeaderboardEntry]:\\n return parse_leaderboard_html(FIXTURE.read_text(encoding=\\\"utf-8\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nread: tests/test_leaderboard.py. Call Read before editing.]\nAssistant action: Bash {\"command\": \"git add -A src/mythosmini tests/test_leaderboard.py tests/fixtures requirements.txt && git commit -qm \\\"add config and leaderboard modules with proving t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nh input={\"command\": \"cp /tmp/lb_index.html /home/user/MythosMini/tests/fixtures/leaderboard_index.html && grep -c \\\"name:\\\" /home/user/MythosMini/tests/fixtures/leaderboard_index.html\", \"description\": \"Commit real leaderboard html as test fixtu... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrom src.mythosmini.leaderboard.scoring import (\\n build_wiki_normalization,\\n efficiency_score,\\n overall_score,\\n)\\n\\n\\n@dataclass(frozen=True)\\nclass Placement:\\n overall_rank: int\\n efficiency_rank: int\\n total_entries: int... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nast_dtype_matches_capability() -> None:\\n info = detect_device()\\n dtype = autocast_dtype(info)\\n if info.device == \\\"cu …[truncated]\nResult: File created successfully at: /home/user/MythosMini/tests/test_hardware.py (file state is current ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\new_micro))\\n return BatchPlan(micro_batch=new_micro, grad_accum=new_accum)\\n\\n\\ndef time_probe_steps(step_fn: …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/hardware/autotune.py (file state is current in y... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nosMini/src/mythosmini/hardware/detect.py (file state is current in your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/hardware/autotune.py\", \"content\": \"import math\\nimport time\\nf... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nensor) -> Tensor:\\n seq_len = x.shape[2]\\n cos_slice = cos[:seq_len].to(x.dtype)\\n sin_slice = sin[:seq_len].to(x.dtype)\\n x_even = x[..., 0::2]\\n x_odd = x[..., 1::2]\\n rotated_even = x_even * cos_slice - x_odd …[truncated]\nResu... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nand\": \".venv/bin/python -m pytest tests/test_model.py -q 2>&1 | tail -8; .venv/bin/python -c \\\"\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.model.transformer import MythosMini, count_parameters\\nprint('params:', count_parame... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nLint, typecheck, commit model unit\"}\nResult: tests/test_model.py:41: error: Argument 1 to \"normal_\" has incompatible type \"Tensor | Module\"; expected \"Tensor\" [arg-type]\ntests/test_model.py:64: error: Call to untyped function \"backward\" in typ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n | head -10\", \"description\": \"Show all mypy errors\"}\nResult: src/mythosmini/model/transformer.py:37: error: Returning Any from function declared to return \"Tensor\" [no-any-return]\nsrc/mythosmini/model/transformer.py:61: error: Returning Any from... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nl = MythosMini(ModelConfig())\\n total = count_parameters(model)\\n assert 950_000 <= total <= 1_150_000\\n\\n\\ndef test_forward_shape_and_finite_logits() -> None:\\n torch.manual_seed(0)\\n model = MythosMini(tiny_config())\\n tokens = to... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\neturning Any from function declared to return \"Tensor\" [no-any-return]\nsrc/mythosmini/model/transformer.py:61: error: Returning Any from function declared to return \"Tensor\" [no-any-return]\nsrc/mythosmini/model/transformer.py:74: error: Returning ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n/model/transformer.py:74: error: Returning Any from function declared to return \"Tensor\" [no-any-return]\nsrc/mythosmini/model/transformer.py:87: error: Argument 1 to \"zeros_\" has incompatible type \"Tensor | Module\"; expected \"Tensor\" [arg-type]... | 1 | Swarm-AI-Research/fable5-traces-sft |
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