From c41c768e7e9e0baed828b994ced970f1d4e09bd9 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 10 Jul 2026 18:14:14 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: MihaiPopa-1/CinnabarLM-1.4M-Base Source: Original Platform --- .gitattributes | 35 + README.md | 66 + config.json | 32 + generation_config.json | 9 + model.safetensors | 3 + tokenizer.json | 19567 +++++++++++++++++++++++++++++++++++++++ tokenizer_config.json | 13 + training_args.bin | 3 + 8 files changed, 19728 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 training_args.bin diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..7614834 --- /dev/null +++ b/README.md @@ -0,0 +1,66 @@ +--- +license: apache-2.0 +datasets: +- HuggingFaceFW/fineweb +language: +- en +pipeline_tag: text-generation +tags: +- tiny-model +- cinnabarlm +- tiny-llm +- tiny-lm +- tinylm +- tinyllm +--- + +# CinnabarLM 1.4M +What happens if you take the CinnabarLM idea and push it a little more further? You'll get this! + +CinnabarLM 1.4M is a tiny, 1.4M-parameter LLM trained for ~26.75 minutes on a T4 GPU (on Colab)! It's only 6 MB in size and now it's Llama-based! + +# Why? +Because it's a good idea to make tiny LLMs. Some people already did with [MicroLM](https://huggingface.co/CromIA/MicroLM-1M), [Spark 4 5M](https://huggingface.co/LH-Tech-AI/Spark-5M-Base-v4) and [Tenete 8M](https://huggingface.co/Harley-ml/Tenete-8M), but not myself! + +# Model Configurations +| Parameter | Value | +|---|---| +| Tokenizer | Llama 3's tokenizer (Tiktoken / BPE) | +| Vocabulary Size | 4096 tokens | +| Batch Size | 4 x 8 = 32 | +| Context Window | Maybe 2048 tokens | +| `hidden_size` | 128 | +| `intermediate_size` | 128 | +| `num_hidden_layers` | 4 | +| `num_attention_heads` | 4 | +| `max_position_embeddings` | 2048 | +| `rms_norm_eps` | `1e-5` | +| `initializer_range` | 0.02 | +| `use_cache` | True +| `tie_word_embeddings` | False +| `rope_theta` | 10000.0 + +# Training Configurations +| Hyperparameter | Value | +|---|---| +| `output_dir` | "./cinnabarlm-v2" | +| `max_steps` | 10000 | +| `per_device_train_batch_size` | 8 | +| `gradient_accumulation_steps` | 4 | +| `learning_rate` | 6e-4 | +| `weight_decay` | 0.01 | +| `warmup_steps` | 500 | +| `lr_scheduler_type` | "cosine" | +| `logging_steps` | 100 | +| `save_steps` | 2000 | +| `fp16` | True | +| `save_total_limit` | 2 | +| `prediction_loss_only` | True | +| `logging_first_step` | True | + +# Limitations +* **Not Instruction-Tuned:** It's only a base model, so it only completes text. +* **English-Only:** It's trained on English data (FineWeb), it's NOT multilingual. +# Some other details +* It's trained on 30 million tokens of [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) (CC-MAIN-2025-26 snapshot), and the knowledge cutoff is June 2025. +* The name "CinnabarLM" that I picked was made by combining "Cinnabar" (the new block from the Chaos Cubed drop in Minecraft) + "LM" (Language Model) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..7d147d2 --- 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