Add Emhotob-25M: weights, tokenizer, and model card

README.md

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+---
+language:
+- ar
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- arabic
+- llama
+- pretraining
+- from-scratch
+- emhotob
+- small-language-model
+datasets:
+- kaust-generative-ai/fineweb-edu-ar
+---
+
+# Emhotob-25M
+
+**Emhotob** is a family of small Arabic language models pretrained **from scratch** on
+Arabic web text. This is the **25M** rung of the ladder (~25.27M parameters),
+part of a scaling series ranging from 500K to 25M parameters that all share the same
+tokenizer, context length, and training recipe.
+
+> ⚠️ These are tiny, research-scale models trained on a limited token budget. They are
+> intended for scaling-law experiments, education, and Arabic NLP research — **not** for
+> production use.
+
+## Model details
+
+| Property | Value |
+|---|---|
+| Architecture | Llama (decoder-only, RoPE, GQA) |
+| Parameters | 25,270,656 (~25.27M) |
+| Hidden size | 384 |
+| Layers | 8 |
+| Attention heads | 6 (KV heads: 3) |
+| Intermediate size | 1024 |
+| Context length | 2048 |
+| Vocabulary | 32,000 (custom Byte-Level BPE) |
+| Tied embeddings | Yes |
+| RoPE theta | 10,000 |
+| Precision | bf16 |
+
+## Training
+
+| Property | Value |
+|---|---|
+| Data | [`kaust-generative-ai/fineweb-edu-ar`](https://huggingface.co/datasets/kaust-generative-ai/fineweb-edu-ar) (Arabic) |
+| Tokens seen | ~2.5B (1 epoch) |
+| Optimizer | AdamW (fused), β=(0.9, 0.95), wd=0.1 |
+| LR schedule | 6e-4, cosine, 2% warmup |
+| Effective batch | 128 sequences × 2048 tokens |
+| Grad clipping | 1.0 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "oddadmix/Emhotob-25M"
+tok = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16)
+
+prompt = "الذكاء الاصطناعي هو"
+inputs = tok(prompt, return_tensors="pt")
+out = model.generate(**inputs, max_new_tokens=50, do_sample=True, top_p=0.9, temperature=0.8)
+print(tok.decode(out[0], skip_special_tokens=True))
+```
+
+## Limitations
+
+Given its size and limited pretraining budget, Emhotob-25M has a narrow capability
+range and will produce factually unreliable and sometimes incoherent text. It has not been
+instruction-tuned or aligned, and no safety filtering has been applied. Use accordingly.
+
+---
+
+*© SupraLabs 2026 — PROJECT EMHOTOB.*

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 8,
+  "num_key_value_heads": 3,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 10000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.12.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 1,
+  "transformers_version": "5.12.1",
+  "use_cache": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dabeeb7865d60cd1c4eb7a8ba063420c04e4800ccb443973ffb122933b4139a3
+size 101090696

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:75108ea0d59ecfe2282ab5550f1cf0420c891ea4822c805a0c85e1facac2a16f
+size 5201