messages list | tier int64 | src string |
|---|---|---|
[
{
"role": "user",
"content": "…[earlier truncated]…\ntry]:\\n return parse_leaderboard_html(FIXTURE.read_text(encoding=\\\"utf-8\\\"))\\n\\n\\ndef test_parse_params_text_handles_suffixes() -> None:\\n assert parse_params_text(\\\"1M\\\") == 1e6\\n assert parse_params_text(\\\"587K\\\") == 587e3\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nweights).sum().item()\", \"new_string\": \" def real_step(batch_size: int) -> None:\\n data = torch.randn(batch_size, 64, device=info.device)\\n (data @ weights).sum().item()\"}\nResult: The file /home/user/MythosMini/tests/test_hardware.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nth\": \"/home/user/MythosMini/tests/test_model.py\", \"content\": \"import torch\\n\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.model.transformer import MythosMini, build_rope_cache, count_parameters\\n\\n\\ndef tiny_config() -> ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n [100%]\n6 passed in 0.78s\nAssistant action: Bash {\"command\": \".venv/bin/ruff format src/ tests/ >/dev/null; .venv/bin/ruff check --fix src/ tests/; .venv/bin/python -m mypy --strict src/mythosmini 2>&1 | tail -3 && git add -A src tests && g... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n \" def forward(self, x: Tensor, cos: Tensor, sin: Tensor, qkv_delta: Tensor | None) -> Tensor:\\n x = x + self.attn(self.attn_norm(x), cos, sin, qkv_delta)\\n result: Tensor = x + self.ffn(self.ffn_norm(x))\\n return result\"}\nRe... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n20s\nparams: 1047168\nAssistant: Model: 1,047,168 params, all tests pass. Commit + move to data pipeline.\nAssistant action: Bash {\"command\": \".venv/bin/ruff format src/ tests/ >/dev/null; .venv/bin/ruff check --fix src/ tests/ >/dev/null; .venv/bin/py... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\npath\": \"/home/user/MythosMini/tests/test_model.py\", \"offset\": 36, \"limit\": 12}\nResult: 36\t model = MythosMini(tiny_config())\n37\t model.eval()\n38\t tokens = torch.randint(0, 257, (1, 16))\n39\t with torch.no_grad():\n40\t for... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nr.extend(byte_tokenize(document))\\n while len(buffer) >= block_len:\\n block = buffer[:block_len]\\n buffer = buffer[block_len:]\\n yield torch.tensor(block, dtype=torch.long)\\n\\n\\ndef quality_passes(int_score: ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nat src/ tests/ >/dev/null && .venv/bin/ruff check src/ tests/ >/dev/null && git add -A src tests && git commit -qm \\\"fix strict typing in transformer and model tests\\\" && git log --oneline -1\", \"description\": \"Typecheck, retest, commit fixes\"}\nR... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nport Iterator\\nfrom typing import Any\\n\\nimport torch\\nfrom torch import Tensor\\nfrom torch.utils.data import DataLoader, IterableDataset, get_worker_info\\n\\nfrom src.mythosmini.config import FINEWEB_CONFIG, FINEWEB_DATASET\\nfrom src.mythosmini.da... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nht)\\n\\n def forward(self, x: Tensor, loop_index: int) -> Tensor:\\n clamped = min(loop_index, len(self.down) - 1)\\n delta: Tensor = self.up[clamped](self.down[clamped](x))\\n return delta\"}\nResult: The file /home/user/MythosMi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n=FINEWEB_CONFIG, split=\\\"train\\\", streaming=True)\\n if shard_count > 1:\\n dataset = dataset.shard(num_shards=shard_count, index=shard_index)\\n for record in dataset:\\n if quality_passes(int(record[\\\"int_score\\\"]), quality_t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nl\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/config.py\", \"old_string\": \"OOM_BATCH_DECREMENT = 5\", \"new_string\": \"OOM_BATCH_DECREMENT = 5\\nLOADER_CHUNK_SEQUENCES = 64\"}\nResult: The file /home/user/MythosMini/src/mythosmini/c... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nthosmini/model/transformer.py\", \"old_string\": \"import torch\\nfrom torch import Tensor, nn\", \"new_string\": \"from typing import cast\\n\\nimport torch\\nfrom torch import Tensor, nn\"}\nResult: The file /home/user/MythosMini/src/mythosmini/model/tr... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nme/lane/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: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n check --fix src/ tests/ >/dev/null; .venv/bin/python -m mypy --strict src/mythosmini tests/test_data_pipeline.py 2>&1 | tail -4\", \"description\": \"Test, format, typecheck data pipeline\"}\nResult: ........ ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrom torch import Tensor\\n\\nfrom src.mythosmini.config import EOS_TOKEN_ID\\n\\n\\ndef byte_tokenize(text: str) -> list[int]:\\n return [*text.encode(\\\"utf-8\\\"), EOS_TOKEN_ID]\\n\\n\\ndef pack_token_stream(documents: Iterator[str], seq_len: int) -... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nytes(tokens[:-1]).decode(\\\"utf-8\\\") == \\\"héllo\\\"\\n assert all(0 <= token <= 256 for token in tokens)\\n\\n\\ndef test_pack_token_stream_yields_fixed_blocks() -> None:\\n documents = iter([\\\"a\\\" * 100, \\\"b\\\" * 100, \\\"c\\\" * …[trun... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n chunk = next(self.chunk_iterator)\\n except StopIteration:\\n self.exhausted = True\\n return\\n self.pending.append(chunk)\\n held += chunk.shape[0]\\n\\n def next_batch(self, batch_siz... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nnput={\"file_path\": \"/home/user/MythosMini/pyproject.toml\"}\nResult: 1\t[project]\n2\tname = \"mythosmini\"\n3\tversion = \"0.0.1\"\n4\tdescription = \"A mini Fable: a small language model that runs without a datacenter\"\n5\trequires-python = \">=3.12... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nre_exactly_pinned -q 2>&1 | grep -A5 \\\"assert\\\"| head; grep -n \\\"pinned\\\" tests/e2e/test_repo_contract.py | head -3\", \"description\": \"See repo contract failure\"}\nResult: assert entries != [], \"requirements.txt is empty\"\n un... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n [100%]\n8 passed in 0.58s\nsrc/mythosmini/data/fineweb.py:15: error: Skipping analyzing \"datasets\": module is installed, but missing library stubs or py.typed marker [import-untyped]\nsrc/mythosmini... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ny]\\npython_version = \\\"3.12\\\"\\nstrict = true\", \"new_string\": \"[tool.mypy]\\npython_version = \\\"3.12\\\"\\nstrict = true\\n\\n[[tool.mypy.overrides]]\\nmodule = [\\\"datasets\\\", \\\"datasets.*\\\"]\\nignore_missing_imports = true\"}\nResult: ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nloader(\\n quality_threshold: int, seq_len: int, batch_size: int, num_workers: int\\n) -> DataLoader[Tensor]:\\n dataset = PackedFineweb(quality_threshold, seq_len)\\n return DataLoader(\\n dataset,\\n batch_size=batch_size,\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt(total_steps * config.warmup_fraction))\\n decay_steps = max(1, int(total_steps * config.decay_fraction))\\n decay_start = total_steps - decay_steps\\n floor = config.peak_lr * config.min_lr_fraction\\n if step < warmup_steps:\\n retur... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nch\\n\\nfrom src.mythosmini.config import EOS_TOKEN_ID\\nfrom src.mythosmini.data.buffer import SequenceBuffer\\nfrom src.mythosmini.data.packing import byte_tokenize, pack_token_stream, quality_passes\\n\\n\\ndef test_byte_tokenize_round_trip_with_eos() ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ncheduler.py (file state is current in your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/training/optimizer.py\", \"content\": \"from torch import nn\\nfrom torch.optim import NAdam\\n\\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nTANT (tool call) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/config.py\", \"old_string\": \" grad_clip: float = 1.0\\n seed: int = 1337\", \"new_string\": \" grad_clip: float = 1.0\\n loop_min: int... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nte input={\"file_path\": \"/home/user/MythosMini/src/mythosmini/telemetry/progress.py\", \"content\": \"from tqdm import tqdm\\n\\n\\ndef build_progress_bar(total_tokens: int, description: str) -> \\\"tqdm[None]\\\":\\n return tqdm(\\n total=tot... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nect import DeviceInfo, autocast_dtype\\nfrom src.mythosmini.model.transformer import MythosMini\\nfrom src.mythosmini.telemetry.progress import emit_log_line\\nfrom src.mythosmini.telemetry.runlog import RunLog\\nfrom src.mythosmini.training.optimizer imp... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nut={\"file_path\": \"/home/user/MythosMini/src/mythosmini/telemetry/runlog.py\", \"content\": \"import json\\nimport queue\\nimport threading\\nfrom pathlib import Path\\nfrom typing import Any\\n\\n\\nclass RunLog:\\n def __init__(self, log_path: Path... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n call) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/training/loop.py\", \"old_string\": \" torch.nn.utils.clip_grad_norm_(deps.model.parameters(), config.grad_clip)\\n optimizer.step()\\n s... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhon -m pytest tests/ -q 2>&1 | tail -2 && git add -A tests && git commit -qm \\\"allow index-url option and local version tags in pin contract\\\" && git log --oneline -1\", \"description\": \"Rerun suite, commit contract update\"}\nResult: ................. | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nin your context — no need to Read it back)\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/training/loop.py\", \"old_string\": \"def accumulate_gradients(\\n deps: TrainerDeps, state: TrainState, l... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n return total / state.plan.grad_accum\", \"new_string\": \" while True:\\n try:\\n total: Tensor | None = None\\n for _ in range(state.plan.grad_accum):\\n batch = deps.buffer.next_batch(state.plan.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\naved is not None:\\n log_progress(deps, state, lr, saved)\", \"new_string\": \" torch.nn.utils.clip_grad_norm_(deps.model.parameters(), config.grad_clip)\\n optimizer.step()\\n state.step += 1\\n step_tokens = state.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ndom\\nfrom dataclasses import asdict, dataclass, field\\nfrom pathlib import Path\\n\\nimport torch\\nfrom torch import Tensor\\nfrom torch.nn import functional\\nfrom tqdm import tqdm\\n\\nfrom src.mythosmini.checkpointing.saver import BackgroundSaver\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ning.optimizer import build_nadamw\\nfrom src.mythosmini.training.scheduler import lr_at_step\\n\\n\\ndef cpu_devi …[truncated]\nResult: File created successfully at: /home/user/MythosMini/tests/test_training_stack.py (file state is current in your context... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nst: 26%|██▌ | 2.56k/10.0k [00:00<00:01, 4.91ktok/s]\rtest: 26%|██▌ | 2.56k/10.0k [00:00<00:01, 4.90ktok/s]\n=========================== short test summary info ============================\nFAILED tests/test_training_stack.py::test_run_train... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\npy 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\": \"/home/user/MythosMini/tests/test_training_stack.py\", \"old_string\": \" fresh = Mytho... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nme/lane/MythosMini/src/mythosmini/training/loop.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\": \"/home/user/MythosMini/src/mythosmini/trai... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nfrom src.mythosmini.data.buffer import SequenceBuffer\\nfrom src.mythosmini.hardware.autotune import BatchPlan\\nfrom src.mythosmini.hardware.detect import DeviceInfo\\nfrom src.mythosmini.model.transformer import MythosMini\\nfrom src.mythosmini.telemetr... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsts/test_training_stack.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\": \"/home/user/MythosMini/tests/test_training_stack.py\", \"old_strin... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nad_norm_(deps.model.parameters(), config.grad_clip)\\n optimizer.step()\\n latest_loss = mean_loss\\n state.step += 1\"}\nResult: The file /home/user/MythosMini/src/mythosmini/training/loop.py has been updated successfully. (file stat... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt\\n\\nfrom tqdm import tqdm\\n\\n\\ndef build_progress_bar(total_tokens: int, description: str) -> \\\"tqdm[None]\\\":\\n bar = tqdm(\\n total=total_tokens,\\n desc=description,\\n unit=\\\"tok\\\",\\n unit_scale=True,\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nall) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/training/loop.py\", \"old_string\": \" already_saved = state.step % CHECKPOINT_INTERVAL_STEPS == 0 and state.saved_checkpoints\\n if not already_saved:\",... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n state.step += 1\"}\nResult: The file /home/user/MythosMini/src/mythosmini/training/loop.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]…\nqdm generic typing in progress bar builder\\\" && git log --oneline -1\", \"description\": \"Verify typing fix and commit\"}\nResult: src/mythosmini/telemetry/progress.py:5: error: Incompatible return value type (got \"tqdm[Never]\", expected \"tqdm[None]... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n for tokens …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/benchmarks/scorer.py (file state is current in your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/sr... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nws: list[tuple[list[int], int]], device: str, dtype: torch.dtype\\n) -> list[float]:\\n max_len = max(len(tokens) for tokens …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/benchmarks/scorer.py (file state is cu... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn 1.29s\nsrc/mythosmini/training/loop.py:8: error: Library stubs not installed for \"tqdm\" [import-untyped]\ntests/test_training_stack.py:64: error: Argument 2 to \"equal\" has incompatible type \"object\"; expected \"Tensor\" [arg-type]\nFound 3 error... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nSTANT (tool call) TaskUpdate input={\"taskId\": \"6\", \"status\": \"completed\"}\nResult: Updated task #6 status\nAssistant action: TaskUpdate {\"taskId\": \"7\", \"status\": \"in_progress\"}\nResult: Updated task #7 status\nAssistant: Benchmarks (task 7... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ncontinuation scorer + three benchmarks + runner.\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/benchmarks/scorer.py\", \"content\": \"from dataclasses import dataclass\\n\\nimport torch\\nfrom torch import Tensor\\nfrom t... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/benchmarks/wikitext.py\", \"content\": \"import math\\n\\nimport torch\\nfrom torch.nn import functional\\n\\nfrom src.mythosmini.config import WIKIT... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/src/mythosmini/benchmarks/runner.py\", \"content\": \"from dataclasses import dataclass\\nfrom pathlib import Path\\n\\nimport torch\\n\\nfrom src.my... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.arc import ArcQuestion, arc_accuracy, load_arc_questions\\nfrom src.mythosmini.benchmarks.blimp import blimp_accuracy, load_blimp_pairs\\nfrom src.mythosmini.benchmarks.wikitext import byte_perplexity, load_wikitext_bytes\\nfrom src.mythosmini.config imp... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n arc_prefix: str\\n a …[truncated]\nResult: File created successfully at: /home/user/MythosMini/src/mythosmini/benchmarks/runner.py (file state is current in your context — no need to Read it back)\nAssistant action: Write {\"file_path\": \"/home/us... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsts/test_benchmarks.py -q 2>&1 | tail -5\", \"description\": \"Run benchmark proving tests\"}\nResult: ........ [100%]\n8 passed in 0.61s\nAssistant action: Bash {\"command\": \".venv/bin/ruf... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\n return torch.lerp(a32, b32, t).reshape(a.shape).to(a.dtype)\\n cosine = max(-1.0, min(1.0, dot / (norm_a * norm_b)))\\n theta = math.acos(cosine)\\n if theta < PARALLEL_THRESHOLD:\\n return torch.lerp(a32, b32, t) …[truncated]\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.merging.slerp import slerp_state_dicts\\n\\nSTALL_GENERATIONS = 3\\nSHARED_STEP_SKIP_RATIO = 0.5\\n\\n\\n@dataclass\\nclass MergeCandidate:\\n name: str\\n state: dict[str, Tensor]\\n steps: frozenset[int]\\n scores: BenchmarkScores\\n\\n\\nE... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nut={\"command\": \".venv/bin/python -m pytest tests/test_merging.py -q 2>&1 | tail -5\", \"description\": \"Run merging proving tests\"}\nResult: ........... [100%]\n11 passed in 0.60s\nAssistan... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nr(a, b, 0.0), a, atol=1e-5)\\n\\n\\ndef test_slerp_tensor_midpoint_lies_between_on_sphere() -> None:\\n a = torch.tensor([1.0, 0.0])\\n b = torch.tensor([0.0, 1.0])\\n mid = slerp_tensor(a, b, 0.5)\\n expected = math.sin(math.pi / 4) / math.si... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrnament import (\\n MergeCandidate,\\n category_best,\\n improves_any_category,\\n normalized_averages,\\n run_tournament,\\n select_top,\\n shares_too_many_steps,\\n)\\n\\n\\ndef test_slerp_tensor_endpoints_identity() -> None:\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nloat) -> Tensor:\\n if a.shape != b.shape:\\n raise ValueError(f\\\"shape mismatch: {tuple(a.shape)} vs {tuple(b.shape)}\\\")\\n a32 = a.float().flatten()\\n b32 = b.float().flatten()\\n dot = float(torch.dot(a32, b32).item())\\n if ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns.py\", \"content\": \"import math\\n\\nimport pytest\\nimport torch\\n\\nfrom src.mythosmini.benchmarks.arc import ArcQuestion, arc_accuracy, build_fewshot_prefix\\nfrom src.mythosmini.benchmarks.blimp import blimp_accuracy, sentence_pair\\nfrom src.myth... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nll) Write input={\"file_path\": \"/home/user/MythosMini/train.py\", \"content\": \"import sys\\nimport time\\nfrom dataclasses import asdict\\nfrom pathlib import Path\\n\\nimport torch\\nfrom torch import Tensor\\n\\nfrom src.mythosmini.benchmarks.runner... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nin 0.60s\nAssistant action: Bash {\"command\": \".venv/bin/ruff format src/ tests/ >/dev/null; .venv/bin/ruff check --fix src/ tests/ >/dev/null; .venv/bin/python -m mypy --strict src/mythosmini tests/ 2>&1 | tail -2 && .venv/bin/python -m pytest tests/ -... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\niceInfo,\\n autocast_dtype,\\n describe_device,\\n detect_device,\\n)\\nfr …[truncated]\nResult: File created successfully at: /home/user/MythosMini/train.py (file state is current in your context — no need to Read it back)\nAssistant action: Edi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nad it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/tests/e2e/test_train_entry.py\", \"content\": \"from pathlib import Path\\n\\nimport pytest\\nimport torch\\n\\nimport train as train_module\\nfrom src.mythosmini.benchmarks.arc ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nExit(main(sys.argv))\\n\\n\\ndef entry_point_exists() -> bool:\\n return True\", \"new_string\": \"if __name__ == \\\"__main__\\\":\\n raise SystemExit(main(sys.argv))\"}\nResult: The file /home/user/MythosMini/train.py has been updated successfully... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nNV)/bin/ruff format src/ tests/ ralph.py\n21\t\t$(VENV)/bin/ruff check --fix src/ tests/ ralph.py\n22\t\n23\trun:\n24\t\t@test -f src/main.py || { echo \"error: no entry point yet — src/main.py does not exist; create it before using make run\" >&2; exit 1... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nipeline with e2e test\\\" && git log --oneline -1\", \"description\": \"Full suite then commit entry point\"}\nResult: ........................ [100%]\n96 passed in 4.23s\nc27d63d add train.py entry orchestr... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nv/bin/python -m pytest tests/e2e/test_train_entry.py -q 2>&1 | tail -12\", \"description\": \"Run train.py e2e test (may take minutes on CPU)\", \"timeout\": 600000}\nResult: ... [100%]\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nl call) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/AGENTS.md\", \"old_string\": \"## Process Rules\", \"new_string\": \"## Training Script Change Rules\\n\\nWhenever you edit the training script (`train.py` or anything unde... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nchmarkData(\\n wikitext_bytes=b\\\"The quick brown fox jumps over the lazy dog. \\\" * 40,\\n blimp_subtasks={\\n \\\"fixture_task\\\": [\\n (\\\"the dog runs fast.\\\", \\\"dog the fast runs.\\\"),\\n …[trunc... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.py entry orchestrating full pipeline with e2e test\nAssistant action: TaskUpdate {\"taskId\": \"9\", \"status\": \"completed\"}\nResult: Updated task #9 status\nAssistant action: TaskUpdate {\"taskId\": \"10\", \"status\": \"in_progress\"}\nResult: Updat... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nroving tests\"}\nResult: ........... [100%]\n11 passed in 0.60s\nAssistant action: Bash {\"command\": \".venv/bin/ruff format src/ tests/ >/dev/null; .venv/bin/ruff check --fix src/ tests/ >/dev... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nRules\", \"new_string\": \"## Training Script Change Rules\\n\\nWhenever you edit the training script (`train.py` or anything under `src/mythosmini/`) to change training behavior, you MUST run a full 2B-token test for that change before it is accepted: `p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/Makefile\", \"old_string\": \"run:\\n\\t$(PY) train.py\", \"new_string\": \"run:\\n\\t$(PY) train.py\\n\\npyaot:\\n\\t$(PY) pyaot.py .\"}\nResult: The file /home/user... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ne. Now run `make pyaot` (contract step) before the real runs.\nAssistant action: Bash {\"command\": \"make pyaot 2>&1 | tail -20\", \"description\": \"Run pyaot static analyzer on project\", \"timeout\": 300000}\nResult: make: *** No rule to make target '... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntuple[str, Any]'\n --> ./pyaot.py:129:5\n |\n 129 | param_names: tuple[str, ...] = ()\n | ^\n\npyaot: checked 52 file(s) — 1 error(s) in 1 file(s), 0 warning(s)\nmake: *** [Makefile:27: pyaot] Error 1\nAssistant action: Bash {\"command\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nif isinstance(node, ast.Subscript):\n335:def _resolve_subscript(node: ast.Subscript) -> Type:\n1368: elif isinstance(target, (ast.Subscript, ast.Attribute)):\n1669: def _expr_Subscript(self, node: ast.Subscript, scope: Scope) -> Type:\nAssistant... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n4\t\n315\t if isinstance(node, ast.Subscript):\n316\t return _resolve_subscript(node)\n317\t\n318\t # PEP 604 unions: int | None\n319\t if isinstance(node, ast.BinOp) and isinstance(node.op, ast.BitOr):\n320\t left = resolve_annotat... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt$(VENV)/bin/ruff format src/ tests/ ralph.py train.py\\n\\t$(VENV)/bin/ruff check --fix src/ tests/ ralph.py train.py\\n\\nrun:\\n\\t$(PY) train.py\"}\nResult: The file /home/user/MythosMini/Makefile has been updated successfully. (file state is current ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n through benchmarking and SLERP. One feature per test — never add two things and then test, because you will not know what did what. Each feature gets its own change, its own 2B-token run, and its own row in `scores.md` recording the commit ID, what was d... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nboard.entries import LeaderboardEntry, parse_leaderboard_html\\n\\nFIXTURE = Path(__file__).parent.parent / \\\"fixtures\\\" / \\\"leaderboard_index.html\\\"\\n\\n\\ndef fixture_leaderboard(cache_path: Path) -> list[LeaderboardEntry]:\\n return parse_l... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nRESULT: .venv/bin/python pyaot.py .\npyaot: checked 52 file(s) — 0 error(s) in 0 file(s), 0 warning(s)\nAssistant action: Bash {\"command\": \"git add Makefile pyaot.py && git commit -qm \\\"add pyaot make target and variadic tuple annotation support\\\" ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nance(node, ast.BinOp) and isinstance(node.op, ast.BitOr):\n320\t left = resolve_annotation(node.left)\n321\t right = resolve_annotation(node.right)\n322\t return make_union([left, right])\n323\t\n32 …[truncated]\nAssistant action: Edi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n champion's benchmark scores after the full benchmark + SLERP pipeline.\\n\\n| Commit | What was done | Kept? | Description | WikiText-2 byte PPL | BLiMP | ARC-Easy | Overall | Efficiency |\\n|--------|---------------|-------|-------------|---------------... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ninput={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/src/mythosmini/benchmarks/runner.py\", \"old_string\": \"def load_model_from_checkpoint(path: Path, device: str) -> MythosMini:\\n checkpoint = torch.load(path, map_location=device)\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nto Read it back)\nAssistant action: Write {\"file_path\": \"/home/user/MythosMini/scores.md\", \"content\": \"# scores.md — Training Run Score Registry\\n\\nEvery training-behavior change gets exactly one row per 2B-token test run (`python3 train.py 2 4`)... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n pytest tests/ -q 2>&1 | tail -1\", \"description\": \"Re-run full suite with GPU free\"}\nAssistant action: Bash {\"command\": \"cat /tmp/claude-1000/-home-lane-MythosMini/c7c6924c-09c0-4c89-9ce1-a2080fd18f8f/tasks/b104sb5m2.output\", \"description\": \"... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsMini/src/mythosmini/benchmarks/runner.py has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \".venv/bin/ruff check --fix src/mythosmini/benchmarks/runner.py && .venv/bin/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn.py 0.01 4 2>&1 | tail -40\", \"description\": \"10M token throughput probe run\", \"run_in_background\": true}\nResult: Command running in background with ID: b71hbxfor. Output is being written to: /tmp/claude-1000/-home-lane-MythosMini/c7c6924c-09c0-4c... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\"11\", \"status\": \"in_progress\"}\nResult: Updated task #11 status\nAssistant: Pipeline gates clean. Now a small real-network smoke run (100k tokens) to validate fineweb streaming + benchmark downloads before the 2B run.\nAssistant action: Bash {\"comm... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nctions.md\", \"limit\": 30}\nResult: 1\t# Function Reference\n2\t\n3\tSingle lookup table for every function in the codebase. Source code contains no comments; this file replaces them. Entry format and a complete example: `docs/rules/documentation.md`.\n4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Check the 2B training run progress in /tmp/mythos_2b_run.log and continue the task: when the run completes, record scores into scores.md, write the journal entry, commit, and report final results with leaderboard placement."
},
{
"role": "assistant",
"content": "<th... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n-Micro (69.25)\n 3. GPT-S-5M (68.46)\n 4. kirk-tung (67.30)\n 5. Glint-1.3 (merged) (65.07)\n 6. Supra-Mini-v5 (64.87)\n 7. CinnabarLM 4M (63.41)\n 8. Ivme-Conversate-22M (62.33)\n 9. Supra-Mini-v6 (62.20)\n 10. CinnabarLM 1.5M (62.06)\nlea... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Check the 2B training run progress in /tmp/mythos_2b_run.log and continue the task: when the run completes, record scores into scores.md, write the journal entry, commit, and report final results with leaderboard placement.\nAssistant action: Bash {\"command\": \"grep -vE \\\"W... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Check the 2B training run progress in /tmp/mythos_2b_run.log and continue the task: when the run completes, record scores into scores.md, write the journal entry, commit, and report final results with leaderboard placement.\nAssistant action: Bash {\"command\": \"grep -vE \\\"W... | 1 | Swarm-AI-Research/fable5-traces-sft |
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