messages list | tier int64 | src string |
|---|---|---|
[
{
"role": "user",
"content": "Now, research what a ralph loop is. Then add one (opencode) it should use minimax m3 on opencode correcytly, it should be like this. python3 ralph.py then it asks for a goal you want done. example: verify tests work. Then it would take that, call opencode with the model, and as... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "[Request interrupted by user for tool use]\nITS CLIMBING. IT SHOULD BE DEAD. [Image #1]\n[Image: source: /home/user/.claude/image-cache/602033e7-dc55-4b7f-909f-1c67135d8f4b/1.png]\nAssistant action: Bash {\"command\": \"ps aux --sort=-%mem | head -12; free -h | head -2\", \"des... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "[Request interrupted by user for tool use]\nITS CLIMBING. IT SHOULD BE DEAD. [Image #1]\n[Image: source: /home/user/.claude/image-cache/602033e7-dc55-4b7f-909f-1c67135d8f4b/1.png]\nAssistant action: Bash {\"command\": \"ps aux --sort=-%mem | head -12; free -h | head -2\", \"des... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bbq5po02i</task-id>\n<tool-use-id>toolu_01DzzJbENhKBPKUkuGFmwaX2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/e24a84d9-b09d-4531-97ce-3c078924b269/tasks/bbq5po02i.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns(dim, hidden, bias=False)\\n self.down = linear_cls(hidden, dim, bias=False)\"}\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 ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.run_backward( # Calls into the C++ engine to run the backward pass\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/user/MythosMini/.venv/lib/python3.12/site-package …[truncated]\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n self._compiled_call_impl(*args, **kwargs) # type: ignore[misc]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/user/MythosMini/.venv/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py\", line 953, in compile_wrapper\n retu... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\npletes. To check interim output, use Read on that file path.\nAssistant: Meanwhile journal the work so far:\nAssistant action: Bash {\"command\": \"cat >> journal.md <<'EOF'\\n\\n## [2026-06-11 11:55] — DSA-style sparse attention, 1M context, FP4 training... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ndataclass\\nfrom pathlib import Path\\n\\nimport numpy as np\\nimport torch\\nfrom torch import Tensor\\nfrom torch.nn import functional\\n\\nfrom src.mythosmini.data.cache import CACHE_DTYPE\\nfrom src.mythosmini.model.transformer import MythosMini\\n\\n... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nxts,\\n run_sft,\\n)\\n\\nTINY = ModelConfig(\\n dim=16,\\n n_heads=2,\\n prelude_layers=1,\\n coda_layers=1,\\n shared_loops=2,\\n lora_rank=2,\\n ffn_hidden=32,\\n max_seq_len=64,\\n index_dim=4,\\n index_top_k=8,\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n---------------------------------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ \n triton_tem_fused_flex_ …[truncated]\nAssistant actio... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nimpl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/user/MythosMini/.venv/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n return forward_call(*args, **kwar... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\normer import MythosMini\\n\\nm = MythosMini(ModelConfig()).cuda()\\nfor micro in (256, 512, 1024):\\n x = torch.randint(0, 257, (micro, 513), device=\\\"cuda\\\")\\n def step(loops):\\n with torch.autocast(\\\"cuda\\\", dtype=torch.bfloat16):... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn: int) -> Iterator[Tensor]:\n20: buffer.extend(byte_tokenize(document))\n27:def quality_passes(int_score: int, doc_id: str, percent: float) -> bool:\n2:from dataclasses import asdict, dataclass, replace\n89: optimizer.step()\n124: model_... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nosmini.config import ModelConfig\\nfrom src.mythosmini.training.fp4 import Fp4Linear\\n\\nLOCAL_WINDOW_BONUS = 1.0e4\\nFLEX_MIN_HEAD_DIM = 16\\n\\n_compiled_flex_attention: Callable[..., Tensor] | None = None\\n\\n\\ndef compiled_flex_attention() -> Calla... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt_sft.py -q 2>&1 | tail -3; .venv/bin/python -c \\\"\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.model.transformer import MythosMini, count_parameters\\nprint(count_parameters(MythosMini(ModelConfig())))\\\"\", \"description\": \... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n ProfilerActivity\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.model.transformer import MythosMini\\n\\nm = MythosMini(ModelConfig()).cuda()\\nx = torch.randint(0, 257, (256, 513), device=\\\"cuda\\\")\\ndef step():\\n with tor... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n00 .venv/bin/python - <<'EOF'\\nimport time, random, torch\\nfrom src.mythosmini.config import ModelConfig\\nfrom src.mythosmini.model.transformer import MythosMini\\n\\nm = MythosMini(ModelConfig()).cuda()\\nfor micro in (256, 512, 1024):\\n try:\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\net acc_events=True.\n _warn_once(\n------------------------------------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ ------------ \n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nops).reshape(-1, 257), x[:, 1:].reshape(-1))\\n loss.backward(); m.zero_grad(set_to_none=True)\\n for L in (4,5): step(L)\\n torch.cuda.synchronize(); t=time.time(); n=10\\n rng = random.Random(0)\\n for _ in range(n): step(rng.randint(... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.backward(); m.zero_grad(set_to_none=True)\\nt0=time.time()\\nfor L in (2,3,4,5,6): step(L)\\nprint(f\\\"compile warm: {time.time()-t0:.0f}s\\\")\\ntorch.cuda.synchronize(); t=time.time(); n=20\\nrng = random.Random(0)\\nfor _ in range(n): step(rng.randin... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n-1], loops=loops).reshape(-1, 257), x[:, 1:].reshape(-1))\\n loss.backward(); model.zero_grad(set_to_none=True)\\n for L in (4,5): step(L)\\n torch.cuda.synchronize(); t=time.time(); n=10\\n rng = random.Random(0)\\n for _ in range(n): ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n17: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.\n _warn_once(\n------------------------------------------------------- -----... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n frozen = self.biased.detach() if self.biased is not None else None\\n return SparseSelection(\\n self.selected, frozen, self.index_queries, self.index_keys, self.gate\\n )\"}\nResult: The file /home/user/MythosMini/src/mythosmi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt_model.py tests/test_sft.py tests/test_stm.py -q 2>&1 | tail -2\", \"description\": \"Detach test + model suites\", \"timeout\": 310000}\nResult: -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n52 passed, 15 warnings in 5.62s\nAs... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ne_attention.py\", \"old_string\": \" model = MythosMini(TINY)\\n calls: list[int] = []\\n original = model.indexer.forward\\n\\n def counting(x: torch.Tensor) -> SparseSelection:\\n calls.append(1)\\n return original(x)\\n\\n ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nes for this chunk; `indices: Tensor` (batch, chunk, top_k) — selected key positions; `start/end: int` — query span; `gate: Tensor` — learnable scalar; `scale: float` — 1/sqrt(head_dim).\", \"new_string\": \"**Parameters:** `q/k/v: Tensor` (batch, heads, s... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nains end-to-end via attention gradients; everything else is masked to -inf. Sequences longer than `sparse_chunk_threshold` route to `forward_long`. Optionally adds a LoRA delta to the fused QKV output.\\n\\n**Parameters:** `x: Tensor` (batch, seq, dim); `... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nices`, `Attention.attend_selected`.\\n\\n**Last modified:** 2026-06-11 — added with DSA-style sparse attention.\\n\\n### Attention.index_scores — src/mythosmini/model/transformer.py\\n\\n**Purpose:** Lightning indexer scores: projects inputs through the s... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt buffers, plus one shared `SparseIndexer`. 1,050,241 parameters at defaults (1,047,168 dense core + 3,073 shared indexer).\"}\nResult: The file /home/user/MythosMini/docs/functions.md has been updated successfully. (file state is current in your context ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nong`.\n1684:### Attention.forward_long — src/mythosmini/model/transformer.py\n1700:### Attention.index_scores — src/mythosmini/model/transformer.py\n1748:### Block.forward — src/mythosmini/model/transformer.py\n1796:### MythosMini.__init__ — src/mythosmin... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n for block in self.prelude:\\n x = block(x, cos, sin, None, frozen)\\n for loop_index in range(loop_count):\\n clamped = min(loop_index, self.max_loops - 1)\\n …[truncated]\nResult: The file /home/user/Mytho... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n_k`, dim→index_dim, no bias) and a learnable scalar `index_gate` (init 1.0) weighting the indexer bias.\\n\\n**Parameters:** `config: ModelConfig` — dim must be divisible by n_heads.\\n\\n**Returns:** None.\\n\\n**Side effects:** Allocates parameters (+3,... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntool call) Edit input={\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/docs/functions.md\", \"old_string\": \"### _Fp4SteFunction.forward / _Fp4SteFunction.backward — src/mythosmini/training/fp4.py\\n\\n**Purpose:** Internal autograd functi... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nallers/Callees:** Called via `fp4_weight`. Calls `quantize_fp4`.\\n\\n**Last modified:** 2026-06-11 — added with FP4 training support.\\n\\n### fp4_weight — src/mythosmini/training/fp4.py\\n\\n**Purpose:** Applies `_Fp4SteFunction` to a weight tensor: FP4... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n— 1/sqrt(head_dim).\"}\nResult: The file /home/user/MythosMini/docs/functions.md 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/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bf1jx8zxe</task-id>\n<tool-use-id>toolu_01Wj65fcnCS6jtYCwxbns8Uj</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bf1jx8zxe.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>bf1jx8zxe</task-id>\n<tool-use-id>toolu_01Wj65fcnCS6jtYCwxbns8Uj</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bf1jx8zxe.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>bf1jx8zxe</task-id>\n<tool-use-id>toolu_01Wj65fcnCS6jtYCwxbns8Uj</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bf1jx8zxe.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n636\t### Attention.__init__ — src/mythosmini/model/transformer.py\n1637\t\n1638\t**Purpose:** Multi-head sparse causal self-attention: fused QKV projection, output projection, lightning indexer projections (`index_q`/`index_k`, dim→index_dim, no bias) and... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn raise torch.OutOfMemoryError\\n return real(model_arg, batch, loops, dtype)\\n\\n monkeypatch.setattr(stm, \\\"per_sample_loss\\\", fake)\\n losses = stm.stm_epoch(model, optimizer, pool, indices, config, torch.float32)\\n ass... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nini.model.transformer import MythosMini\n6:from src.mythosmini.training.loop import compute_loss\n7:from src.mythosmini.training.stm import (\n183: model = MythosMini(TINY_MODEL)\n185: pool = torch.randint(0, TINY_MODEL.vocab_size, (16, 17))\nAssist... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nared_loops=2,\n lora_rank=2,\n ffn_hidden=32,\n max_seq_len=32,\n )\n return MythosMini(config)\n\n\ndef test_per_sample_loss_mean_matches_compute_loss() -> None:\n torch.manual_seed(0)\n model = tiny_model()\n batch = ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n_epoch(model, optimizer, pool, indices, config, torch.float32)\\n assert …[truncated]\nResult: ERROR tests/test_stm.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.59s\nAssistant: Failing as expected ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nch: pytest.MonkeyPatch\\n) -> None:\\n torch.manual_seed(13)\\n model = MythosMini(TINY)\\n blocks = build_sft_blocks([\\\"oom recovery sample text\\\" * 4 for _ in range(8)], seq_len=64)\\n config = SftConfig(epochs=1, micro_batch=8, learning... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n int | None = None) -> torch.Tensor:\\n if tokens.shape[0] > 4 and failures[\\\"left\\\"] > 0:\\n failures[\\\"left\\\"] -= 1\\n raise torch.OutOfMemoryError\\n return original(self, tokens, loops)\\n\\n monkeypatch.... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n blocks[order[start : start + config.micro_batch]].to(device)\\n with torch.autocast(device_type=device, dtype=dtype, enabled=dtype != torch.float32):\\n logits = model(batch[:, :-1], loops=config.loops)\\n loss = ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bs8abtl0f</task-id>\n<tool-use-id>toolu_019kaqL23MrSDSE1tZzWjNzN</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bs8abtl0f.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>bs8abtl0f</task-id>\n<tool-use-id>toolu_019kaqL23MrSDSE1tZzWjNzN</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bs8abtl0f.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\t mastered = (drops > threshold) & (current < floor)\n69\t return ~mastered\n70\t\n71\t\n72\tdef stm_epoch(\n73\t model: MythosMini,\n74\t optimizer: torch.optim.NAdam,\n75\t pool: Tensor,\n76\t indices: Tensor,\n77\t config: StmConf... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsses = per_sample_loss(model, batch, config.loops, dtype)\\n torch.autograd.backward(sample_losses.mean())\\n torch.nn.utils.clip_grad_norm_(model.parameters(), config.grad_clip)\\n optimizer.step()\\n losses[start : start + po... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n, 17))\n per_sample = per_sample_loss(model, batch, loops=2, dtype=torch.float32)\n assert per_sample.shape == (4,)\n full = comp …[truncated]\nAssistant: Fix my appended tests to match this file's conventions:\nAssistant action: Bash {\"command\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bs8abtl0f</task-id>\n<tool-use-id>toolu_019kaqL23MrSDSE1tZzWjNzN</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bs8abtl0f.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhe 2B run:\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/user/MythosMini/docs/functions.md\", \"old_string\": \"### StmConfig — src/mythosmini/training/stm.py\", \"new_string\": \"### shrink_micro_batch — src/mythosmini/training/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bs8abtl0f</task-id>\n<tool-use-id>toolu_019kaqL23MrSDSE1tZzWjNzN</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bs8abtl0f.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (commits 28cf7be/58fb61f/latest; live training ~1.19 Mtok/s vs 0.85 prior), journal verbatim results incl. any stm/sft oom ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bs8abtl0f</task-id>\n<tool-use-id>toolu_019kaqL23MrSDSE1tZzWjNzN</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bs8abtl0f.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nome/lane/MythosMini/src/mythosmini/training/stm.py\", \"old_string\": \") -> Tensor:\\n losses = torch.zeros(indices.shape[0], device=pool.device)\\n model.train()\\n micro_batch = config.micro_batch\\n start = 0\", \"new_string\": \") -> tupl... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsrc/mythosmini/training/stm.py\", \"offset\": 72, \"limit\": 75}\nResult: 72\tdef shrink_micro_batch(micro_batch: int) -> int:\n73\t return max(1, micro_batch // 2)\n74\t\n75\t\n76\tdef stm_epoch(\n77\t model: MythosMini,\n78\t optimizer: torch.o... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<local-command-stdout>(no content)</local-command-stdout>\nContinue. It agressivly slows down at stm. It is now 8:50. Continue working. speed stm up first.\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_fast3_2b.log | grep -vE \\\"%\\\\||tok/s\\\\]\\\" | ... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nResult: The file /home/user/MythosMini/src/mythosmini/training/stm.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/... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n, config, dtype)\", \"new_string\": \" for epoch in range(1, config.epochs + 1):\\n order = torch.randperm(active.shape[0], generator=generator).to(pool.device)\\n shuffled = active[order]\\n losses, settled_micro = stm_epoch(model... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue. It agressivly slows down at SFT. It is now 8:50. Continue working. speed stm up first.\nContinue. It agressivly slows down at stm. It is now 8:50. Continue working. speed stm up first.\n[Request interrupted by user]\n<local-command-caveat>Caveat: The messages below we... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "have you optimized it? If so, how.\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_fast3_2b.log | grep -vE \\\"%\\\\||tok/s\\\\]\\\" | grep . | tail -3\", \"description\": \"Quick run status\"}\nResult: stm oom: micro batch 256 -> 128\nstm round 3 epoch 4:... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "have you optimized it? If so, how.\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_fast3_2b.log | grep -vE \\\"%\\\\||tok/s\\\\]\\\" | grep . | tail -3\", \"description\": \"Quick run status\"}\nResult: stm oom: micro batch 256 -> 128\nstm round 3 epoch 4:... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "have you optimized it? If so, how.\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_fast3_2b.log | grep -vE \\\"%\\\\||tok/s\\\\]\\\" | grep . | tail -3\", \"description\": \"Quick run status\"}\nResult: stm oom: micro batch 256 -> 128\nstm round 3 epoch 4:... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "nothing else should be using my GPU. could be old runs\nAssistant action: Bash {\"command\": \"ps -o pid,ppid,lstart,cmd -p 1321201 1343627; ps -o pid,cmd -p $(ps -o ppid= -p 1321201),$(ps -o ppid= -p 1343627) 2>/dev/null\", \"description\": \"Identify the two GPU processes\"}\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "nothing else should be using my GPU. could be old runs\nAssistant action: Bash {\"command\": \"ps -o pid,ppid,lstart,cmd -p 1321201 1343627; ps -o pid,cmd -p $(ps -o ppid= -p 1321201),$(ps -o ppid= -p 1343627) 2>/dev/null\", \"description\": \"Identify the two GPU processes\"}\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nssfully. (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"grep -n \\\"stm_epoch(\\\" tests/test_stm.py src/mythosmini/training/stm.py; sed -n 165,205p src/mythosmini/training/stm.py\", \"description... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/run_fast3_2b.log. When finished (instruct results printed): add scores.md rows for the throughput restructure run (28cf7be..latest), journal verbatim results incl. stm oom shrink prints, commit, and report to user: throughput ladder (den... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "have you optimized it? If so, how.\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/run_fast3_2b.log | grep -vE \\\"%\\\\||tok/s\\\\]\\\" | grep . | tail -3\", \"description\": \"Quick run status\"}\nResult: stm oom: micro batch 256 -> 128\nstm round 3 epoch 4:... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "nothing else should be using my GPU. could be old runs\nAssistant action: Bash {\"command\": \"ps -o pid,ppid,lstart,cmd -p 1321201 1343627; ps -o pid,cmd -p $(ps -o ppid= -p 1321201),$(ps -o ppid= -p 1343627) 2>/dev/null\", \"description\": \"Identify the two GPU processes\"}\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "nothing else should be using my GPU. could be old runs\nAssistant action: Bash {\"command\": \"ps -o pid,ppid,lstart,cmd -p 1321201 1343627; ps -o pid,cmd -p $(ps -o ppid= -p 1321201),$(ps -o ppid= -p 1343627) 2>/dev/null\", \"description\": \"Identify the two GPU processes\"}\... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.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>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.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>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\nd_gpu_memory [MiB]\n1354408, 5774 MiB\n1357412, 24610 MiB\n1354406 /usr/bin/bash -c shopt\n1354407 /usr/bin/bash -c shopt\n1354408 python3 -u src/train.py\n1357412 .venv/bin/python -m pytest\nAssistant action: Bash {\"command\": \"ps -o pid,ppid,cmd -p 13... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.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>b39csq0me</task-id>\n<tool-use-id>toolu_019JFQJ1PHsDFYFhD6izGwu8</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/b39csq0me.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>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.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>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.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>b39csq0me</task-id>\n<tool-use-id>toolu_019JFQJ1PHsDFYFhD6izGwu8</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/b39csq0me.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "…[earlier truncated]…\n/bgpids.tmp ( trap 'jobs -p > \"$_bgpids_file\"' EXIT PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True PYTHONPATH=. python3 -u src/train.py ) __code=$? exit $__code\n1354408 1354407 python3 -u src/train.py\n1357412 1357411 .venv/bin/python -m pytest tes... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>b39csq0me</task-id>\n<tool-use-id>toolu_019JFQJ1PHsDFYFhD6izGwu8</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/b39csq0me.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/salvage.log. If it OOM'd again due to paperclip's src/train.py GPU process, kill that training child process (allowed) and relaunch /tmp/salvage_run.py. When finished: add scores.md rows, journal verbatim (incl. STM round 3 NaN + deleted... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<task-notification>\n<task-id>bg1z3woio</task-id>\n<tool-use-id>toolu_01YKcCxeq5RzEZwF6ZsgebA2</tool-use-id>\n<output-file>/tmp/claude-1000/-home-lane-MythosMini/a76c4cd9-16d4-41ba-8d59-e4d53be8ddc8/tasks/bg1z3woio.output</output-file>\n<status>completed</status>\n<summary>Back... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "paperclip should not be using the GPU. Please properly kill it and test the outputs of the new model.\nAssistant action: Skill {\"skill\": \"paperclip\", \"args\": \"pause the Glint Research company / lead_architect agent so it stops using the GPU\"}\nResult: Launching skill: p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue, it is now June 12th 8:30\nAssistant action: Bash {\"command\": \"tr '\\\\r' '\\\\n' < /tmp/salvage.log | grep . | tail -12; pgrep -f salvage_run | wc -l\", \"description\": \"Salvage final outcome\"}\nResult: gen2_centroid_gen0_step_00061936+step_00061536@t0.33+gen1_g... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "Continue the MythosMini task: check /tmp/salvage.log. If it OOM'd again due to paperclip's src/train.py GPU process, kill that training child process (allowed) and relaunch /tmp/salvage_run.py. When finished: add scores.md rows, journal verbatim (incl. STM round 3 NaN + deleted... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "paperclip should not be using the GPU. Please properly kill it and test the outputs of the new model.\nAssistant action: Skill {\"skill\": \"paperclip\", \"args\": \"pause the Glint Research company / lead_architect agent so it stops using the GPU\"}\nResult: Launching skill: p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "paperclip should not be using the GPU. Please properly kill it and test the outputs of the new model.\nAssistant action: Skill {\"skill\": \"paperclip\", \"args\": \"pause the Glint Research company / lead_architect agent so it stops using the GPU\"}\nResult: Launching skill: p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "paperclip should not be using the GPU. Please properly kill it and test the outputs of the new model.\nAssistant action: Skill {\"skill\": \"paperclip\", \"args\": \"pause the Glint Research company / lead_architect agent so it stops using the GPU\"}\nResult: Launching skill: p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "paperclip should not be using the GPU. Please properly kill it and test the outputs of the new model.\nAssistant action: Skill {\"skill\": \"paperclip\", \"args\": \"pause the Glint Research company / lead_architect agent so it stops using the GPU\"}\nResult: Launching skill: p... | 1 | Swarm-AI-Research/fable5-traces-sft |
[
{
"role": "user",
"content": "<command-name>/login</command-name>\n <command-message>login</command-message>\n <command-args></command-args>\n<local-command-stdout>Login successful</local-command-stdout>\nContinue. (re-fan out)\nContinue. (re-fan out). but also prioritze research and m... | 1 | Swarm-AI-Research/fable5-traces-sft |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.