messages list | tier int64 | src string |
|---|---|---|
[
{
"role": "user",
"content": "<task-notification>\n<task-id>b2btb0hd1</task-id>\n<tool-use-id>toolu_01NWpjo8yaEQWPnbk4w84UiZ</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/602033e7-dc55-4b7f-909f-1c67135d8f4b/tasks/b2btb0hd1.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>b2btb0hd1</task-id>\n<tool-use-id>toolu_01NWpjo8yaEQWPnbk4w84UiZ</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/602033e7-dc55-4b7f-909f-1c67135d8f4b/tasks/b2btb0hd1.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "WHat are you waiting on? GPU isnt bieng used\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_sparse_fp4_2b.log | grep . | tail -5; ps aux | grep \\\"[t]rain.py\\\" | awk '{print $2, $3\\\"%cpu\\\"}'; nvidia-smi --query-compute-apps=pid,used_memory --format... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "WHat are you waiting on? GPU isnt bieng used\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_sparse_fp4_2b.log | grep . | tail -5; ps aux | grep \\\"[t]rain.py\\\" | awk '{print $2, $3\\\"%cpu\\\"}'; nvidia-smi --query-compute-apps=pid,used_memory --format... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "WHat are you waiting on? GPU isnt bieng used\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_sparse_fp4_2b.log | grep . | tail -5; ps aux | grep \\\"[t]rain.py\\\" | awk '{print $2, $3\\\"%cpu\\\"}'; nvidia-smi --query-compute-apps=pid,used_memory --format... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "While its running, add support for instruction tuning. (after final SLERP champion), do that then do SLERP on the instruct for Q&A. {%- if messages and messages[0].role == 'system' -%}\n{%- set sys_content = messages[0].content -%}\n{%- set loop_messages = messages[1:] -%}\n{%-... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nthe user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{%- for tool in tools %}\n{{ tool.function | tojson }}\n{%- endfor %}\n</tools>\n\nFor each function call, return a json object with function name and ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\normation. Returns ranked results with titles, URLs and snippets.\", \"parameters\": {\"type\": \"object\", \"properties\": {\"query\": {\"type\": \"string\", \"description\": \"The search query.\"}, \"num_results\": {\"type\": \"integer\", \"description\"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nil -30\", \"description\": \"Run pipeline e2e with prints, 4min cap\", \"timeout\": 250000, \"run_in_background\": true}\nResult: Command running in background with ID: byclyremo. Output is being written to: /tmp/claude-1000/-home-lane-MythosMini/602033e7... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nISTANT (tool call) Bash input={\"command\": \".venv/bin/python - <<'EOF'\\nimport json\\nwith open(\\\"data/sft.jsonl\\\") as f:\\n rec = json.loads(f.readline())\\nprint(list(rec.keys()))\\nmsgs = rec[\\\"messages\\\"]\\nprint(len(msgs))\\nfor m in ms... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhome/lane/MythosMini/tests/test_fp4.py has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"timeout 120 .venv/bin/python -m pytest tests/test_fp4.py tests/test_sparse_atte... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n't provide much context. To better understa\", 'content': 'None', 'tool_calls': \"[{'id': 'call_1', 'type': 'function', 'function': {'name': 'web_search', 'argume\"}\ntool {'tool_call_id': 'call_1', 'name': 'web_search', 'content': \"Here are some search ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nguage the user writes in. Summarize long search findings instead of dumping raw results. Tone: calm and matter-of-fact.<|im_end|>\\n<|im_start|>user\\nNeed a job<|im_e'\n---\n\"ponse calm and matter-of-fact, as per the system prompt.\\n</think>\\nYou're w... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n54: model_config = ModelConfig(**payload[\"model_config\"])\nAssistant action: Bash {\"command\": \"sed -n 120,140p src/mythosmini/training/stm.py; sed -n 40,70p src/mythosmini/training/stm.py\", \"description\": \"See save helper and loss fn in stm\"}... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nseed: int = 1337\\n\\n\\ndef load_sft_texts(path: Path) -> list[str]:\\n if not path.is_file():\\n raise FileNotFoundError(f\\\"sft data file not found: {path}\\\")\\n texts: list[str] = []\\n with path.open() as handle:\\n for line... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/training/sft.py (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"timeout 120 .venv/bin/python -m pytest tests/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nunt = memmap.shape[0] // block_len\n if sample_count < 1:\n raise ValueError(f\"cache holds {memmap.shape[0]} tokens, need at least {block_len}\")\n host = np.asarray(memmap[: sample_count * block_len], dtype=np.int64)\n return torch.from_... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\next — no need to Read it back)\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/train.py\", \"old_string\": \"def report_final(\", \"new_string\": \"def sft_phase(\\n paths: RunPaths,\\n champion: MergeCandidat... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n DeviceInfo,\\n leaderboard: list[LeaderboardEntry],\\n parameter_count: int,\\n) -> MergeCandidate | None:\\n if not SFT_DATA_PATH.is_file():\\n print(f\\\"sft data not found at {SFT_DATA_PATH}; skipping instruction tuning\\\")\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n losses = run_sft(\\n …[truncated]\nResult: The file /home/user/MythosMini/train.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_path\": \"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nter_count\\n )\\n report_final(champion, leaderboard, parameter_count)\\n instruct = sft_phase(\\n paths, champion, model_config, data, eval_batch, info, leaderboard, parameter_count\\n )\\n if instruct is not None:\\n print(\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n sft_path = tmp_path / \\\"data\\\" / \\\"sft.jsonl\\\"\\n sft_path.parent.mkdir(parents=True)\\n sft_rows = [\\n {\\\"text\\\": \\\"<|im_start|>user\\\\nwhat is water?<|im_end|>\\\\n<|im_start|>assistant\\\\nliquid<|im_end|>\\\\n\\\"},\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nd_sft_texts, build_sft_blocks\\ntexts = load_sft_texts(Path('data/sft.jsonl'))\\nblocks = build_sft_blocks(texts, 512)\\nprint(len(texts), 'texts', blocks.shape, 'blocks')\\\"; tr '\\\\r' '\\\\n' < /tmp/run_sparse_fp4_2b.log | grep -vE \\\"%\\\\||tok/s\\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n check 2B progress\"}\nResult: 951 texts torch.Size([15485, 513]) blocks\nWarning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\nWarning: You are sending unauthenticated r... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nart|>assistant\\\\n1 2 3<|im_end|>\\\\n\\\"},\\n ]\\n sft_path.write_text(\\\"\\\\n\\\".join(json.dumps(row) for row in sft_rows) + \\\"\\\\n\\\")\\n monkeypatch.setattr(train_module, \\\"SFT_DATA_PATH\\\", sft_path)\\n exit_code = train_modul... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntool call) Bash input={\"command\": \"make fix >/dev/null 2>&1; make lint 2>&1 | grep -vE \\\"^grep|^\\\\.venv|^ruff|formatted|passed\\\" | tail -4\", \"description\": \"Lint before relaunch\", \"timeout\": 120000}\nResult: |\n\nFound 2 errors.\nmake: ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n00}\nResult: Found 2 errors.\nmake: *** [Makefile:23: fix] Error 1\npyaot: checked 74 file(s) — 0 error(s) in 0 file(s), 0 warning(s)\nAssistant action: Bash {\"command\": \".venv/bin/ruff check --fix pyaot.py 2>&1 | tail -3; .venv/bin/ruff format pyaot.p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nyaot.py 2>&1 | tail -1; make lint >/dev/null 2>&1 && echo LINT_OK || .venv/bin/ruff check . 2>&1 | tail -5\", \"description\": \"Fix pyaot.py lint directly\", \"timeout\": 180000}\nResult: Found 97 errors (7 fixed, 90 remaining).\nNo fixes available (11 h... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n sampler\nAssistant action: Bash {\"command\": \"cat Makefile; git stash list | head -2\", \"description\": \"Inspect Makefile lint target\"}\nResult: VENV := .venv\nPY := $(VENV)/bin/python\nPIP := $(VENV)/bin/pip\n\n.PHONY: setup test lint fix run pyaot... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n:\n\t$(VENV)/bin/ruff format --check src/ tests/ ralph.py train.py\n\t$(VENV)/bin/ruff check src/ tests/ ralph.py train.py\n\t$(PY) pyaot.py .\n\t$(PY) scripts/audit_docs.py\n\t@grep -r \"^[[:space:]]*#\" src/ train.py ralph.py | grep -v \"__init__.py\" &... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nge): Lint scope excludes pyaot.py — my edit was out of scope. Revert it:\nAssistant action: Bash {\"command\": \"git checkout -- pyaot.py; make lint 2>&1 | grep -vE \\\"^grep|binary file\\\" | tail -6\", \"description\": \"Restore pyaot.py, run make lint\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nl call) Bash input={\"command\": \".venv/bin/ruff check src/ tests/ ralph.py train.py 2>&1 | head -25\", \"description\": \"Show the 2 real lint errors\"}\nResult: E501 Line too long (107 > 100)\n --> tests/e2e/test_train_entry.py:76:101\n |\n74 | ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n ^^^^^^^\n77 | },\n78 | {\n |\n\nE501 Line too long (106 > 100)\n --> tests/e2e/test_train_entry.py:79:101\n |\n77 | },\n78 | {\n79 | \"text\": \"<|im_start|>us... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nater?<|im_end|>\\\\n<|im_start|>assistant\\\\nliquid<|im_end|>\\\\n\\\"\\n },\\n {\\n \\\"text\\\": \\\"<|im_start|>user\\\\ncount to three<|im_end|>\\\\n<|im_start|>assistant\\\\n1 2 3<|im_end|>\\\\n\\\"\\n },\\n ]\", \... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\"},\\n {\\\"text\\\": f\\\"{user_open}count to three{assistant_open}1 2 3{closing}\\\"},\\n ]\"}\nResult: The file /home/user/MythosMini/tests/e2e/test_train_entry.py has been updated successfully. (file state is current in your context — no ne... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ncommand\": \"make lint 2>&1 | grep -vE \\\"^grep|binary file|^\\\\.venv|files\\\" | tail -4\", \"description\": \"Why lint not OK\", \"timeout\": 180000}\nResult: src/mythosmini/training/sft.py: function 'run_sft'\n src/mythosmini/training/sft.py: func... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nMythosMini/tests/e2e/test_train_entry.py\", \"old_string\": \" scores_log = run_dirs[0] / \\\"benchmarks\\\" / \\\"checkpoint_scores.jsonl\\\"\\n assert scores_log.is_file()\", \"new_string\": \" scores_log = run_dirs[0] / \\\"benchmarks\\\" / \\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn dataclass holding instruction-tuning hyperparameters: epochs (3), micro_batch (64), learning_rate (1e-4), loops (4, fixed), grad_clip (1.0), seed (1337).\\n\\n**Parameters:** All fields defaulted; construct with overrides as needed.\\n\\n**Returns:** N/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "its 2:05PM btw\nAssistant: Noted. Run is mid-STM-round-3; benchmark + SLERP + SFT phases follow. Wakeup set for 14:42 — I'll check progress then and report when final scores land.\n<task-notification>\n<task-id>bwmmws0f9</task-id>\n<tool-use-id>toolu_01CxJ6edMXumLsN2YzZFmA89</t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_full_2b.log. If finished: add scores.md row(s) for the sparse-attention+FP4+SFT pipeline run, journal with verbatim results, run the pipeline e2e test if not yet green post-SFT, commit, and write the final user report (results, pros,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "its 2:05PM btw\nAssistant: Noted. Run is mid-STM-round-3; benchmark + SLERP + SFT phases follow. Wakeup set for 14:42 — I'll check progress then and report when final scores land.\n<task-notification>\n<task-id>bwmmws0f9</task-id>\n<tool-use-id>toolu_01CxJ6edMXumLsN2YzZFmA89</t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nheck:\nAssistant action: Bash {\"command\": \"ps -o pid,user,etime,cmd -p 140548 2>/dev/null | tail -1\", \"description\": \"Identify GPU co-tenant\"}\nResult: PID USER ELAPSED CMD\nAssistant action: Bash {\"command\": \"timeout 300 .venv/bin/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ni.data.buffer import BatchSource\n18\tfrom src.mythosmini.hardware.autotune import BatchPlan, shrink_after_oom\n19\tfrom src.mythosmini.hardware.detect import DeviceInfo, autocast_dtype\n20\tfrom src.mythosmini.model.transformer import MythosMini\n21\tfro... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n = 256, 6, 512, 16\\nq = torch.randn(B, H, N, D, device=\\\"cuda\\\", dtype=torch.bfloat16, requires_grad=True)\\nk = torch.randn_like(q, requires_grad=True)\\nv = torch.randn_like(q, requires_grad=True)\\nraw = torch.rand(B, N, N, device=\\\"cuda\\\", dt... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\neeze(-1) - levels).abs()\\n nearest = levels[distances.argmin(dim=-1)]\\n quantized = nearest * normalized.sign() * scales\\n return quantized.reshape(-1)[: weight.numel()].reshape(original_shape)\", \"new_string\": \"def quantize_fp4(weight: Ten... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n,\\n coda_layers=1,\\n ffn_hidden=64,\\n max_seq_len=128,\\n index_dim=8,\\n index_top_k=16,\\n local_window=4,\\n fp4_weights=False,\\n )\\n attention = Attention(config).cuda()\\n cos, sin = buil... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nnsor:\\n original_shape = weight.shape\\n flat = weight.reshape(-1)\\n pad = (-flat.shape[0]) % block\\n if pad:\\n flat = functional.pad(flat, (0, pad))\\n blocks = flat.reshape(-1, block)\\n scales = blocks.abs().amax(dim=-1, ke... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrse_indices(raw, self.config.index_top_k, self.config.local_window)\\n gate = self.index_gate.to(raw.dtype)\\n blocked = torch.tensor(float(\\\"-inf\\\"), dtype=raw.dtype, device=raw.device)\\n bias = torch.where(selected, gate * raw,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nst_sparse_attention.py::test_flex_path_backward_flows_to_indexer_on_cuda\n1 failed, 13 passed, 14 warnings in 4.95s\nAssistant action: Bash {\"command\": \"timeout 120 .venv/bin/python -m pytest tests/test_sparse_attention.py::test_flex_path_backward_flow... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn: Callable[..., Tensor] | None = None\\n\\n\\ndef compiled_flex_attention() -> Callable[..., Tensor]:\\n global _compiled_flex_attention\\n if _compiled_flex_attention is None:\\n from torch.nn.attention.flex_attention import flex_attention\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n========\n_______________ test_flex_path_backward_flows_to_indexer_on_cuda _______________\n\n def test_flex_path_backward_flows_to_indexer_on_cuda() -> None:\n assert torch.cuda.is_available()\n--\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nask=bias.unsqueeze(1))\\n …[truncated]\nResult: The file /home/user/MythosMini/src/mythosmini/model/transformer.py has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nda and self.head_dim >= FLEX_MIN_HEAD_DIM:\\n return self.attend_short_flex(x, cos, sin, qkv_delta)\\n return self.attend_short_sdpa(x, cos, sin, qkv_delta)\"}\nResult: The file /home/user/MythosMini/src/mythosmini/model/transformer.py h... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n:967: in compile_wrapper\n raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n.venv/lib/python3.12/site-packages/torch/_inductor/compile_fx.py:1019: in _compile_fx_inner\n raise Induc... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n{\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/tests/test_sparse_attention.py\", \"old_string\": \"def test_flex_path_backward_flows_to_indexer_on_cuda() -> None:\\n assert torch.cuda.is_available()\\n torch.manual_seed(9)\\n mod... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nmini.training.fp4 import Fp4Linear\\n\\nLOCAL_WINDOW_BONUS = 1.0e4\", \"new_string\": \"from collections.abc import Callable\\n\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.training.fp4 import Fp4Linear\\n\\nLOCAL_WINDOW_BONUS = 1... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n=64,\n max_seq_len=128,\n index_dim=8,\n index_top_k=16,\n local_window=4,\n fp4_weights=False,\n )\n attention = Attention(config).cuda()\n cos, sin = build_rope_cache(config, 128)\n x = torch.randn(2, 128, ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn_cuda() -> None:\\n assert torch.cuda.is_available()\\n torch.manual_seed(9)\\n model = MythosMini(TINY).cuda()\\n tokens = torch.randint(0, TINY.vocab_size, (2, 48), device=\\\"cuda\\\")\", \"new_string\": \"def test_flex_path_backward_flows... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsparse_attention.py -q 2>&1 | tail -2\", \"description\": \"Re-run sparse tests\", \"timeout\": 310000}\nResult: FAILED tests/test_sparse_attention.py::test_flex_path_backward_flows_to_indexer_on_cuda\n1 failed, 13 passed, 14 warnings in 4.46s\nAssistant ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n prelude_layers=1,\\n coda_layers=1,\\n shared_loops=2,\\n lora_rank=2,\\n ffn_hidden=64,\\n max_seq_len=64,\\n index_dim=8,\\n index_top_k=8,\\n local_window=4,\\n fp4_weights=False,\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n flex_attention\\nflex = torch.compile(flex_attention, dynamic=False)\\nB,H,N,D = 2,2,128,16\\nq = torch.randn(B,H,N,D, device=\\\"cuda\\\", requires_grad=True)\\nk = torch.randn_like(q, requires_grad=True)\\nv = torch.randn_like(q, requires_grad=True)\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nfloat32, size=[], stride=[]))\n )))\n args[13]: ()\nAssistant: Found it: flex backward can't handle the grad-requiring scalar `gate` captured in score_mod. Pre-multiply outside:\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/use... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrc.mythosmini.model.transformer import MythosMini\\n\\nm = MythosMini(ModelConfig()).cuda()\\nm.compile(dynamic=True)\\nx = torch.randint(0, 257, (256, 513), device=\\\"cuda\\\")\\ndef step(loops):\\n with torch.autocast(\\\"cuda\\\", dtype=torch.bfloa... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n(s,b,h,qi,ki):\\n return torch.where(sel[b,qi,ki], s + gate[0]*raw[b,qi,ki], neg)\\nout = flex(q,k,v,score_mod=sm)\\nout.sum().backward()\\nprint(\\\"ok\\\", q.grad.abs().sum().item())\\nEOF\", \"description\": \"Minimal flex backward repro\", \"timeou... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nimport Tensor, nn\", \"new_string\": \"import torch\\nfrom torch import Tensor, nn\"}\nResult: The file /home/user/MythosMini/src/mythosmini/training/fp4.py has been updated successfully. (file state is current in your context — no need to Read it back)\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntool call) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/AIArchives/archives/neonstrike/app/public/js/main.js\", \"old_string\": \" sfxReport() { return audio.report(); },\", \"new_string\": \" sfxReport() { return audio.report(); ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nent in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"grep -n \\\"pass\\\" pyaot/subtype.py pyaot/checker.py | head; grep -n \\\"terminated = True\\\" pyaot/checker.py\", \"description\": \"Find stray pass and unreachable-... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nwould land if I shot rn. I dont like the random sparkle effects. Also everything is way to reflective. When I get put into the shop menu (when I enter the game) it should click on the menu, never get locked behind said menu. Add one more map where there i... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "You are adding map diversity to NEONSTRIKE, a ray-traced browser FPS. Read these files first:\n- /home/user/AIArchives/archives/neonstrike/app/public/js/map.js (current map 'VECTOR' — format reference)\n- /home/user/AIArchives/archives/neonstrike/app/public/js/renderer.js (just... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns/settings.js\", \"old_string\": \" const valSpan = document.createElement('span');\\n valSpan.className = 'settings-val';\\n valSpan.textContent = cur;\\n input.addEventListener('input', () => {\\n settings.set(path, ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nor one.\\n- NEVER ASSUME.\"}\nResult: The file /home/user/GR/glint-cli/src/core/prompts.ts has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"bunx tsc -p tsconfig.json -... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>\n<command-name>/login</command-n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "[Request interrupted by user for tool use]\nBugs: gun is now pointed to the left. it needs to be as if I was holding it out infront of me. the bottom at my hand. the tip looking at where it would land if I shot rn. I dont like the random sparkle effects. Also everything is way ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n setText('hud-money', `$${g.money}`);\\n setText('hud-round', `R${g.round}`);\\n setText('hud-score', `YOU ${g.score.player} : ${g.score.bots} BOTS`);\\n const t = Math.max(0, g.phaseT);\\n const mm = Math.floor(t / 60), ss = Math.floor(t % 60... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n \"/home/user/AIArchives/archives/neonstrike/blender/dioramas.py\", \"content\": \"# NEONSTRIKE map dioramas. Reads blender/mapdata.json (exported from the real\\n# maps.js), rebuilds each arena in Blender with theme-matched materials, and\\n# renders an ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\n<think>\nTo create a file called `hello.txt` containing the text 'glint was here', I will use the `write_file` tool. After creating the file, I will use the `read_file` tool to verify its contents.\n\nFirst, I will create the file:\n</think>\n\n<<<glint... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<local-command-caveat>Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.</local-command-caveat>\n<command-name>/login</command-n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nmering\\\",\\n \\\"Prisming\\\",\\n \\\"Sparking\\\",\\n \\\"Crystallizing\\\",\\n];\\n\"}\nResult: File created successfully at: /home/user/GR/glint-cli/src/theme.ts (file state is current in your context — no need to Read it back)\nAssistant action: ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "[Image: original 1440x2200, displayed at 1309x2000. Multiply coordinates by 1.10 to map to original image.]\nAssistant action: Bash {\"command\": \"google-chrome --headless --disable-gpu --screenshot=/tmp/glint-site-final.png --window-size=1440,900 --hide-scrollbars --virtual-t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsorted(total_missing):\n print(f\" {m}\")\n return 1\nAssistant action: Bash {\"command\": \"sed -n 1,60p /home/user/MythosMini/tests/test_model.py; echo ----; sed -n 1,50p /home/user/MythosMini/src/mythosmini/model/transformer.py\", \"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n/index.tsx\\\",\\n \\\"build\\\": \\\"bun run scripts/build-logo.ts && bun build src/index.tsx --compile --outfile dist/glint\\\",\\n \\\"install-bin\\\": \\\"cp dist/glint $HOME/.local/bin/glint\\\"\\n },\\n \\\"dependencies\\\": {\\n \\\"ink\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nst line = lines[i];\\n\\n const fence = line.match(/^\\\\s*```(\\\\w*)\\\\s*$/);\\n if (fence) {\\n const lang = fence[1];\\n const code: string[] = [];\\n i++;\\n while (i < lines.length && !/^\\\\s*```\\\\s*$/.test(lines[i])) {... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>b5ezyrm78</task-id>\n<summary>Monitor event: \"double-decoder iteration sweep results\"</summary>\n<event>{\"tag\": \"5d_2400\", \"seed\": 7, \"baseline\": 0.966, \"double\": 1.0, \"best_of_k\": 0.97, \"vote\": 0.998, \"oracle\": 1.0, \"dd_params\"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Now mesure effecncy. (real time to result)\nAssistant: Measuring real time-to-result: (1) training wall-clock to reach target accuracy, (2) inference latency per problem. Adding timed harness to the module.\nAssistant action: Bash {\"command\": \"grep -n \\\"def train_model\\\"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>b53txn1o2</task-id>\n<summary>Monitor event: \"efficiency measurement results\"</summary>\n<event>{\"measure\": \"time_to_90\", \"digits\": 5, \"seed\": 7, \"double_seconds_to_target\": 11.54, \"baseline_seconds_to_target\": 20.84, \"double_steps_t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntate and nudge history\"}\nResult: def add(a, b):\n return a + b\n\ndef multiply(a, b):\n result = 0\n for _ in range(b):\n result += a\n return result\n\ndef average(nums):\n return sum(nums) / len(nums)\n---\n{\"ts\":\"2026-06-12T2... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue from where you left off.\nAssistant: No response requested.\nContinue\nAssistant action: Read {\"file_path\": \"/tmp/stm_paper.txt\"}\nResult: 1\t\n2\t\n3\t\n4\t \n5\t \n6\t STM and the Circle Thing\n7\t \n8\t \n9\t \n10\t \n11\t\n12\t\n13\t \n14\t \n15\t ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nat: /home/user/MythosMini/tests/test_procedural.py (file state is current in your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/data/procedural.py\", \"content\": \"from pathlib import P... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nthosMini/tests/double_decoder.py\", line 233, in train_model\n model.to(config.device)\n File \"/home/user/MythosMini/.venv/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1381, in to\n return self._apply(convert)\n ^^^^^^... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nint) -> None:\n16\t held = sum(chunk.shape[0] for chunk in self.pending)\n17\t while held < needed and not self.exhausted:\n18\t try:\n19\t chunk = next(self.chunk_iterator)\n20\t except StopIteration:\n2... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhe pool to everything, tighten the mastery bar, run again — gains big on round 2, diminishing by round 3 (9.2% → 29.6% → 30.8% unseen-hard accuracy; compute savings 1.8% → 4.0% → 21.2%). I'll add multi-round support to `stm.py` (pool reset per round, floo... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>boecdau6w</task-id>\n<tool-use-id>toolu_01QsezG7wqLdN9L1Xic6SURc</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/e24a84d9-b09d-4531-97ce-3c078924b269/tasks/boecdau6w.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\n\\t$(VENV)/bin/ruff check src/ tests/\\n\\t$(PY) -m mypy --strict src/ tests/\\n\\nfix:\\n\\t$(VENV)/bin/ruff format src/ tests/\\n\\t$(VENV)/bin/ruff check --fix src/ tests/\\n\\nrun:\\n\\t@test -f src/main.py || { echo \\\"error: no entry point yet —... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\node\\\") is None:\\n print(\\\"opencode not found — installing it now\\\", flush=True)\\n install = subprocess.run([\\\"bash\\\", \\\"-c\\\", OPENCODE_INSTALL_COMMAND], text=True)\\n if OPENCODE_BIN_DIR.is_dir():\\n os.envi... | 1 | Swarm-AI-Research/fable5-traces-sft |
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