Spark-X2.6-4B-Loop-mHC / loop_config.json
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Publish formal self-contained 60-layer Looped + 3-Tier MoE-Engram checkpoint (merged from TassP0lar/Spark-X2.6-4B-Loop-mHC-R24)
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{
"family": "SparkX-Loop-v0.2",
"base_id": "XHToken/Spark-X2.6-4B",
"base_revision": "main",
"train_mode": "full",
"num_unique_layers": 36,
"loop_start": 4,
"loop_end": 28,
"loop_passes": 2,
"total_virtual_layers": 60,
"mhc_enabled": true,
"dynamic_mhc": true,
"sublayer_mhc": true,
"pass_adapter_rank": 16,
"engram_enabled": true,
"total_optimizer_steps": 3600,
"full_trainable_layers": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35
],
"lora_rank": 0,
"lora_alpha": 32,
"engram_buckets": 16384,
"engram_dim": 64,
"engram_experts": 16,
"engram_top_k": 2,
"engram_expert_rank": 32,
"engram_shared_rank": 32,
"backbone_engram_stride": 4,
"max_seq_length": 4096,
"metrics": {
"stage": "R24",
"mean_train_loss": 0.7503211793918279,
"eval_loss": 0.7957787867635489,
"mean_abs_attn_gate": 0.06046177625830751,
"mean_abs_ffn_gate": 0.10866226161791322,
"engram_gate": 0.07684231549501419,
"optimizer_steps": 3600,
"elapsed_h": 19.552016568567225
},
"dataset_stats": {
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"saidutta69/fable-5-premium-v2:train": {
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"armand0e/Fable-5-Chat:train": {
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"angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k:train": {
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"ronaldcmz/claude_opus_4.8_max_thinking_5k_v2:train": {
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"family": "claude-opus"
},
"TeichAI/Claude-Opus-4.6-Reasoning-887x:train": {
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},
"FlaneAI/GPT-6Astra-scientific-research:train": {
"rows": 20,
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"family": "gpt-astra-6"
},
"Roman1111111/gpt-5.4-step-by-step-reasoning:train": {
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"vanty120/Gpt-5.4-Xhigh-Reasoning-2000x:train": {
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"TeichAI/gpt-5.1-high-reasoning-1000x:train": {
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},
"Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset:train": {
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},
"nvidia/OpenScienceReasoning-2:train": {
"rows": 2500,
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"family": "science-reasoning"
},
"Jackrong/Kimi-K2.5-Reasoning-1M-Cleaned:PHD-Science": {
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},
"MegaScience/MegaScience:train": {
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"MegaScience/TextbookReasoning:train": {
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"OpenDataArena/Spark-234K:train": {
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},
"HuggingFaceTB/smoltalk2:Mid": {
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},
"nvidia/Nemotron-Instruction-Following-Chat-v1:chat_if": {
"rows": 2000,
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"family": "multi-turn-chat"
},
"NousResearch/Hermes-3-Dataset:train": {
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},
"HuggingFaceH4/ultrachat_200k:train_sft": {
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},
"DataCreatorAI/Multi-Turn-Conversational-SFT:train": {
"rows": 1000,
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},
"openai/gsm8k:main": {
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}
},
"teacher_enabled": true,
"teacher_models": [
"deepseek-v4-flash",
"haiku5.5",
"mimo-v2.6-pro"
],
"target_repo_id": "TassP0lar/Spark-X2.6-4B-Loop-mHC-R24",
"notes": "Full/hybrid SparkX-Loop v0.2 export with Sublayer Dual-mHC, Pass Adapters, Memory-Tiered MoE-Engram, and 1M-Context SDPA.",
"is_formal_merged_checkpoint": true,
"merged_from_repo": "TassP0lar/Spark-X2.6-4B-Loop-mHC-R24",
"formal_repo_id": "TassP0lar/Spark-X2.6-4B-Loop-mHC",
"loop_weights_file": "loop_modules.safetensors",
"telemetry_summary": {
"mean_abs_attn_gate": 0.0605,
"mean_abs_ffn_gate": 0.1087,
"effective_virtual_layers": 60,
"physical_layers": 36
}
}