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  1. README.md +43 -0
  2. config.json +19 -0
  3. model.pt +3 -0
  4. tokenizer.json +0 -0
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - bitnet
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+ - 1-bit
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+ - ternary
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+ - slm
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+ - cronus
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+ - onebit-ai
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Cronus-150M (Native Ternary SLM)
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+
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+ **Cronus-150M** is a ~151M parameter general-purpose native ternary small language model developed by **OneBit AI**.
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+ Forward body linear layers use **native ternary weights {-1, 0, +1}** with int8 activation quantization (BitNet b1.58 style) with fp32 master weights.
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+
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+ ## Model Details
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+ * **Organization:** [OneBit AI](https://huggingface.co/OneBitAI)
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+ * **Architecture:** BitLinear Transformer SLM
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+ * **Parameters:** 151,100,160
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+ * **Hidden Dimension:** 768
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+ * **Layers:** 24
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+ * **Attention Heads:** 12 (Query) / 4 (KV, Grouped-Query Attention)
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+ * **Intermediate Dimension:** 2048
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+ * **Context Length:** 2048
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+ * **Normalization:** RMSNorm with Sub-Layer Normalization (SubLN)
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+ * **Vocabulary Size:** 49,152 (SmolLM2-135M tokenizer)
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+ * **Precision / Training Mode:** `int8_tf32`
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+
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+ ## Training Status (Burn / Smoke Run)
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+ * **Tokens Trained:** ~149.95M tokens (286 updates, real 524,288 tokens/update)
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+ * **Training Hardware:** NVIDIA GeForce RTX 5070
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+ * **Final Training Loss:** 5.39 (from 10.99 initial)
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+ * **Held-out Probe Loss:** 5.53 (from 6.68 initial)
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+
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+ ## Files in this Repository
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+ * `model.pt`: Clean model weights (`state_dict`).
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+ * `step_000000286_final.pt`: Full resume training checkpoint (model weights, fp32 master weights, optimizer state).
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+ * `config.json`: Architecture configuration parameters.
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+ * `tokenizer.json`: Tokenizer vocabulary and BPE merges.
config.json ADDED
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+ {
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+ "model_type": "cronus-150m",
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+ "architectures": [
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+ "CronusForCausalLM"
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+ ],
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+ "vocab_size": 49152,
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+ "hidden_size": 768,
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+ "num_hidden_layers": 24,
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+ "num_attention_heads": 12,
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+ "num_key_value_heads": 4,
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+ "intermediate_size": 2048,
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+ "max_position_embeddings": 2048,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sub_layer_norm": true,
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+ "tie_word_embeddings": true,
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+ "activation_qb": 128,
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+ "num_parameters": 151100160
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+ }
model.pt ADDED
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+ oid sha256:c917e19e649e521e945e7034f1880f8b3544008ed852748ffbb5346873f0de14
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+ size 604461163
tokenizer.json ADDED
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