fix: replace soft rollback with proper failure in recurrent seq_rm
The soft rollback path (cells[tail_id].pos = p0 - 1) only updated position metadata, leaving SSM tensor state (r_l/s_l) reflecting the post-speculative position. This caused silent state corruption and looping on speculative decoding rejection for recurrent/hybrid models (e.g. Qwen3.5 MoE 27B). seq_rm now returns false when no checkpoint exists at p0-1, correctly signaling to the caller that rollback requires re-evaluation. The hybrid memory layer already propagates false correctly. Also add a LLAMA_LOG_DEBUG when the 0.9 cache threshold prevents checkpoint creation, making the behavior visible rather than silent. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@ -175,9 +175,9 @@ bool llama_memory_recurrent::seq_rm(llama_seq_id seq_id, llama_pos p0, llama_pos
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if (best_cell >= 0) {
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tail_id = best_cell;
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} else {
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// if no checkpoint found, we still move the position back (soft rollback)
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// only if it's the current sequence's tail
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cells[tail_id].pos = p0 - 1;
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// no checkpoint found at p0-1: the SSM tensor state cannot be rolled back
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// without re-evaluating the sequence. Signal failure to the caller.
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return false;
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}
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}
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// invalidate tails which will be cleared
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@ -648,10 +648,17 @@ bool llama_memory_recurrent::find_slot(const llama_ubatch & ubatch) {
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// Copy state data
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copy_cell(seq_meta.tail, next_empty_cell);
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// Keep history of previous states for rollback (up to 8 cells per sequence)
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// Keep history of previous states for rollback (up to 8 cells per sequence).
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// The 0.9 threshold prevents the checkpoint history from filling the cache.
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// When the cache is too full to keep checkpoints, speculative decoding rollback
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// will fail (seq_rm returns false) and the caller must re-evaluate.
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if (get_cell_count(seq_id) < 8 && used < size * 0.9) {
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// Do not erase seq_id from orig_cell to keep it as a checkpoint
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} else {
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if (used >= size * 0.9) {
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LLAMA_LOG_DEBUG("%s: cache too full (used=%u/%u) to keep checkpoint for seq %d; speculative rollback will require re-evaluation\n",
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__func__, used, size, seq_id);
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}
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// Erase oldest history point for this sequence
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int32_t oldest_cell = -1;
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llama_pos min_pos = std::numeric_limits<llama_pos>::max();
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