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Model: MaliosDark/Nexus-Erebus-50M Source: Original Platform
2026-08-01 09:03:18 +08:00
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--- a/README.md
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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- small-language-model
+- slm
+- from-scratch
+- tiny
+- nexus-erebus
+- llama
+- arithmetic
+---
+
+![Nexus-Erebus-50M](./nexus50m.png)
+
+# Nexus-Erebus-50M
+
+**Nexus-Erebus-50M** is a compact ~54M-parameter language model trained from scratch by **Ideoa Labs**,
+combining strong commonsense reasoning with genuine integer arithmetic ability at tiny scale.
+
+## Model details
+
+| | |
+|---|---|
+| Parameters | ~54.1M |
+| Architecture | Llama-style decoder |
+| Hidden size | 512 |
+| Layers | 9 |
+| Attention heads | 8 |
+| Vocab size | 32,000 (custom digit-aware tokenizer) |
+| Context length | 1,024 |
+| Precision | bfloat16 |
+
+The tokenizer keeps digits atomic rather than merging them into BPE units, which preserves the
+positional structure that integer arithmetic depends on.
+
+## Benchmarks
+
+Measured with `lm-eval-harness`, 0-shot, `acc_norm`, on the **full test sets** (no subsampling).
+ArithMark-2 is scored on its full 2500 items with the public evaluation script.
+
+| Task | Items | Nexus-Erebus-50M |
+|---|---:|---:|
+| ARC-easy | 2,376 | 44.40 |
+| ARC-challenge | 1,172 | 22.70 |
+| HellaSwag | 10,042 | 27.05 |
+| PIQA | 1,838 | 58.27 |
+| **ArithMark-2** | 2,500 | **52.48** |
+| **Average** | | **40.98** |
+
+### Against the sub-100M field
+
+Published Open SLM Leaderboard values, same five tasks, same full-set protocol.
+
+| Model | Params | Average |
+|---|---:|---:|
+| **Nexus-Erebus-50M** | **54M** | **40.98** |
+| Atom 2.7M | 3M | 40.43 |
+| Supra-1.5-50M-base-exp | 52M | 39.00 |
+| Isabel-50M | 54M | 38.74 |
+| Supra-50M-Base | 52M | 38.45 |
+| Archaea-74M-V1.1 | 74M | 37.96 |
+
+It leads the sub-100M class on ARC-easy and PIQA, and its ArithMark-2 score of 52.48 is the second
+highest in that class.
+
+## Training
+
+Trained from scratch with a custom digit-aware 32k tokenizer, then refined on a curated mix of
+educational, science, commonsense and reading-comprehension data, plus a large synthetic integer
+arithmetic set covering addition, subtraction, multiplication, exact division, mixed multi-operator
+expressions and parenthesised expressions. No benchmark test items were used at any stage.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+tok = AutoTokenizer.from_pretrained("MaliosDark/Nexus-Erebus-50M")
+model = AutoModelForCausalLM.from_pretrained("MaliosDark/Nexus-Erebus-50M")
+
+prompt = "16 + 4 * 3 ="
+print(tok.decode(model.generate(**tok(prompt, return_tensors="pt"), max_new_tokens=6)[0]))
+```
+
+## Example outputs
+
+Real, unedited outputs from this checkpoint.
+
+| Prompt | Output |
+|---|---|
+| `Question: What force pulls objects toward the Earth?` | gravity. |
+| `Question: What gas do humans need to breathe to survive?` | oxygen. |
+| `Question: What do we call the process by which plants make food?` | photosynthesis. |
+
+## License
+
+Apache-2.0.
+
+Built by Ideoa Labs.
--- a/config.json
+++ b/config.json
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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "bfloat16",
+  "eos_token_id": 0,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "max_position_embeddings": 1024,
+  "mlp_bias": false,
+  "model_name": "scratch/nexus-erebus-50m-digit",
+  "model_type": "llama",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 9,
+  "num_key_value_heads": 8,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "unsloth_version": "2026.4.6",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/generation_config.json
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+{
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+  "eos_token_id": [
+    0
+  ],
+  "max_length": 1024,
+  "pad_token_id": 1,
+  "transformers_version": "4.57.6"
+}
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--- a/special_tokens_map.json
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+{
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--- a/tokenizer.json
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--- a/tokenizer_config.json
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+{
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+    }
+  },
+  "bos_token": "<|endoftext|>",
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+  "eos_token": "<|endoftext|>",
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+  "pad_token": "<|pad|>",
+  "padding_side": "left",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "<|endoftext|>"
+}