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  1. README.md +31 -0
  2. config.json +149 -0
  3. manifest.json +15 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: thinkingmachines/Inkling
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+ tags: [linear-attention, gated-deltanet, hybrid, distillation, taylor-calibrate, moe]
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+ ---
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+
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+ # Inkling-975B, 6 layers linearized to Gated DeltaNet (fused checkpoint)
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+
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+ Derivative of [thinkingmachines/Inkling](https://huggingface.co/thinkingmachines/Inkling)
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+ (Apache-2.0): the attention of layers **[56, 58, 61, 62, 64, 65]** (including full-attention
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+ layer 65) is replaced with **GatedDeltaNet** (64 heads × 128, gated, short-conv), trained by
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+ end-to-end KL distillation against the frozen base as teacher (1 800 steps, seq-128,
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+ 64×H100 EP). Layers were selected by zero-ablation importance ranking (least important first).
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+ All other weights are byte-identical to the base model.
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+
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+ | eval (Inkling-tokenized wikitext) | teacher (base) | this model | gap |
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+ |---|---|---|---|
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+ | PPL @seq-128 | 7.15 | **7.288** | +1.9% |
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+ | PPL @seq-2048 (16× the training length) | 2.478 | **2.526** | +1.9% |
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+
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+ ## Format
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+ Self-contained: the 109 original shards (native naming, unchanged) + `model-gdn-linearized.safetensors`
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+ (keys `model.layers.{L}.linear_attn.*`) + patched `model.safetensors.index.json`.
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+ `config.json` carries an `xorl_linearization` section describing the spliced layers.
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+
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+ ## Usage
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+ Loadable with the xorl in-tree Inkling implementation
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+ (`xorl/models/transformers/inkling/`, togethercomputer/xorl-internal PR #511):
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+ build `InklingConfig` with `linear_attn_layers=[56,58,61,62,64,65], linear_attn_type="gdn",
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+ kda_num_heads=64` and point `weights_path` at this repo — the bundled `InklingCheckpointHandler`
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+ maps native keys (incl. gate/up de-interleave and expert EP-sharding) and passes the GDN keys through.
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+ {
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+ "architectures": [
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+ "InklingForConditionalGeneration"
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+ ],
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+ "model_type": "inkling_mm_model",
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+ "eos_token_id": 200006,
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+ "text_config": {
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+ "model_max_length": 1048576,
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+ "torch_dtype": "bfloat16",
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+ "hidden_size": 6144,
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+ "num_hidden_layers": 66,
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+ "vocab_size": 201024,
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+ "num_attention_heads": 64,
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+ "num_key_value_heads": 8,
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+ "head_dim": 128,
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+ "d_rel": 16,
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+ "rel_extent": 1024,
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+ "q_bias": false,
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+ "o_bias": false,
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+ "log_scaling_n_floor": 128000,
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+ "log_scaling_alpha": 0.1,
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+ "rms_norm_eps": 1e-06,
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+ "use_embed_norm": true,
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+ "shared_expert_sink": true,
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+ "audio_config": {
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+ "teacher_ppl_seq128": 7.15
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+ }
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+ }
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+ "content_thinking": "<|content_thinking|>",
496
+ "end_message": "<|end_message|>",
497
+ "content_audio_input": "<|content_audio_input|>",
498
+ "content_tool_error": "<|content_tool_error|>",
499
+ "audio": "<|audio|>",
500
+ "content_xml": "<|content_xml|>",
501
+ "begin_of_text": "<|begin_of_text|>",
502
+ "audio_end": "<|audio_end|>",
503
+ "content_invoke_tool_json": "<|content_invoke_tool_json|>",
504
+ "content_invoke_tool_text": "<|content_invoke_tool_text|>"
505
+ },
506
+ "model_max_length": 1000000000000000019884624838656,
507
+ "tokenizer_class": "PreTrainedTokenizerFast"
508
+ }