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flare-sm70-references

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logits
qwen3.8
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flare-sm70-references / long-code-reference.json
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orwelian84
Flare SM70 FP32 accuracy references (nvidia/Qwen3.8-27B-NVFP4 @ 482ca0f3)
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{
"model_id": "nvidia/Qwen3.8-27B-NVFP4",
"revision": "482ca0f3832238542f8f5295dde86b5f22711d80",
"status": "complete",
"artifact": "/mnt/storage/flare/release-references/long-code-reference.safetensors",
"artifact_sha256": "d4479957d5ec101c8274d7a7fe59032d0171423ebacd8607a6aeb61e00f1afc9",
"schema": {
"prompt_<i>.logits": "float32 [48, 248320], unnormalized logits at saved_positions",
"prompt_<i>.input_ids": "int64 [prompt_tokens+32], prompt ids followed by the greedy continuation",
"prompt_<i>.positions": "int64 [48], 0-based positions of the logits rows"
},
"selection": "the 6 longest (by rendered token count) non-thinking 'code-*' prompts in /mnt/storage/flare/release-references/prompts.jsonl; ties broken by id",
"rendering": "tokenizer.apply_chat_template(messages, add_generation_prompt=True, enable_thinking=False, tokenize=True) with the checkpoint's chat_template.jinja; no BOS added; same request shape as mtp-accept/accept.py (chat_template_kwargs.enable_thinking=false, llama-server --jinja)",
"continuation": "32 greedy tokens from the same reference with HF DynamicCache (chunked GDN prefill, recurrent GDN decode), EOS not stopped",
"teacher_forcing": "one forward over input_ids without cache (chunked GDN, eager attention); logits saved at the last 48 positions = last 16 prompt positions + 32 continuation positions",
"comparison": "Teacher-force input_ids through the candidate; compare logits rows at identical positions. Report KLD(reference||candidate) and top-1 agreement. The decode_vs_teacher_forced numbers give the reference's own cached-vs-uncached path difference.",
"prompts": [
{
"index": 0,
"id": "code-00",
"thinking": false,
"messages_sha256": "ac1f2e90792a019680bcd97a98291acc438ecbdbb88f87e7ad98f3bd32c9a16e",
"prompt_tokens": 4096,
"total_tokens": 4128,
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"generated_text": "```python\ndef merge_sorted_lists(list1, list2):\n \"\"\"\n Merge two sorted lists into a single sorted list without modifying either input.",
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"saved_positions_note": "0-based positions in input_ids; logits row i predicts input_ids[positions[i]+1] (the last row predicts the token after the 32-token continuation)",
"eos_in_continuation": [],
"teacher_forced_argmax_matches_greedy": 32,
"teacher_forced_argmax_mismatch_steps": [],
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"kl_max": 0.001671505309352762,
"max_abs_logit_diff": 1.6146061420440674
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"generation_seconds": 38.735630250012036,
"teacher_forced_seconds": 7.049488699994981
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"thinking": false,
"messages_sha256": "de298deb6bf910f4758d2abd545722b1384da88e8e61b8ea017ba7359b10512e",
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"generated_text": "```rust\nuse std::iter::Peekable;\n\n/// An iterator that removes adjacent duplicate values from an underlying iterator.\n///\n/// This iterator",
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"saved_positions_note": "0-based positions in input_ids; logits row i predicts input_ids[positions[i]+1] (the last row predicts the token after the 32-token continuation)",
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"generated_text": "```typescript\nexport interface RetryOptions {\n /**\n * Maximum number of attempts (including the first one).\n * @default 3\n",
"saved_positions": [
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"saved_positions_note": "0-based positions in input_ids; logits row i predicts input_ids[positions[i]+1] (the last row predicts the token after the 32-token continuation)",
"eos_in_continuation": [],
"teacher_forced_argmax_matches_greedy": 32,
"teacher_forced_argmax_mismatch_steps": [],
"decode_vs_teacher_forced": {
"kl_mean": 0.0011888841141883824,
"kl_max": 0.008138283177361066,
"max_abs_logit_diff": 1.296900749206543
},
"generation_seconds": 38.03181663702708,
"teacher_forced_seconds": 6.951784988981672
},
{
"index": 4,
"id": "code-01",
"thinking": false,
"messages_sha256": "c051184bb085a08191c7d11c60fc6d68d00893876dab9dde2055050126897ff4",
"prompt_tokens": 4092,
"total_tokens": 4124,
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"generated_text": "```rust\n/// Performs binary search on a sorted slice.\n///\n/// # Invariant\n/// The invariant maintained throughout the binary search is:\n///",
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"saved_positions_note": "0-based positions in input_ids; logits row i predicts input_ids[positions[i]+1] (the last row predicts the token after the 32-token continuation)",
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