Add LittleLearner model + card

README.md

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+---
+license: other
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen3
+- text-generation
+- littlelearner
+- bounded
+- base
+---
+
+# littlelearner-5b-bounded-base
+
+5B K-5-bounded base model (pretraining only).
+
+Part of the **LittleLearner** scale-up study (*pedagogically-controlled knowledge exposure*): Qwen3 dense LMs trained on a corpus filtered to U.S. K–5 material (**bounded**) vs an unfiltered FineWeb-Edu corpus (**unbounded**), to measure what an interpretable knowledge boundary costs and grants.
+
+## Model
+- **Architecture:** Qwen3 dense (`Qwen3ForCausalLM`) — standard `transformers`, no custom code / `trust_remote_code`.
+- **Size:** 5.04B params — hidden 3072, 44 layers, 24 query / 8 KV heads, FFN 9216. **Context:** 4096.
+- **Tokenizer:** custom 64k byte-level BPE with per-digit splitting (trained for this project; ChatML special tokens).
+- **Pretraining:** 88B tokens on K-5 **LittleCurriculum** (FineWeb-Edu filtered to U.S. grades K–5). WSD schedule, sharded Muon optimizer, MXFP8, Megatron-Core on 8×B200.
+
+## Evaluation
+- In-domain bits-per-byte (BPB): **0.536** (vs the 2B nanochat reference 0.805).
+
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+tok = AutoTokenizer.from_pretrained("manueldeprada/littlelearner-5b-bounded-base")
+model = AutoModelForCausalLM.from_pretrained("manueldeprada/littlelearner-5b-bounded-base", torch_dtype=torch.bfloat16, device_map="auto")
+ids = tok("The sum of 2 and 3 is", return_tensors="pt").to(model.device)
+print(tok.decode(model.generate(**ids, max_new_tokens=64)[0]))
+```
+
+> Research artifact. The **bounded** models carry an intentional K–5 knowledge boundary (they cannot model above-grade-5 material); the **base** models are not instruction-tuned.

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "bfloat16",
+  "eos_token_id": 0,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 9216,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 4096,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 44,
+  "num_key_value_heads": 8,
+  "pad_token_id": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 1,
+  "transformers_version": "5.2.0",
+  "use_cache": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:85cb71c145b5f3979f769f92a13d72d74eaf8b2c34c4c8379cd0187902576c50
+size 10082683608

tokenizer_config.json

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+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "eos_token": "<|endoftext|>",
+  "is_local": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}