commit f97e88b49e6b8f5f45276c43726e08eb623cf492 Author: ModelHub XC Date: Fri Jul 24 10:30:10 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: finnianx/michel-nano Source: Original Platform 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..a0d361b --- /dev/null +++ b/README.md @@ -0,0 +1,70 @@ +--- +library_name: transformers +tags: +- mergekit +- merge +datasets: +- HuggingFaceFW/fineweb-edu +- epfml/FineWeb2-HQ +- HuggingFaceTB/cosmopedia +language: +- en +--- +# michel-nano + +michel-nano is an ultra-tiny ~6 million parameter base language model trained on 1.14 billion tokens. It was created by merging two intermediate training checkpoints using [mergekit](https://github.com/cg123/mergekit) to combine their strengths into a single, superior model. + +## Merge Details + +This model is a 50/50 SLERP (Spherical Linear Interpolation) merge of two checkpoints from the same training run: +* **Checkpoint A (Step 60,000):** Excelled at language modeling and reasoning, achieving the best WikiText perplexity and ARC-Easy scores. +* **Checkpoint B (Step 70,000):** Showed stronger grammatical understanding, achieving the best BLiMP score. + +By merging them, this model inherits the best traits of both—achieving lower WikiText perplexity and higher BLiMP/ARC-E scores than either parent checkpoint individually. + +## Training Details + +* **Parameters:** ~6,000,000 +* **Training Tokens:** 1.14 Billion +* **Context Length:** 512 tokens +* **Post-training:** None (This is a base pre-trained model) + +### Dataset Mixture + +| Dataset | Weight | +| :--- | :--- | +| `HuggingFaceFW/fineweb-edu` | 50% | +| `epfml/FineWeb-HQ` | 30% | +| `HuggingFaceTB/cosmopedia` (stories split) | 20% | + +### Tokenizer + +The tokenizer is a basic Byte-Pair Encoding (BPE) tokenizer trained from scratch on a subset of 100,000 samples drawn from the same data mixture. It features a compact vocabulary size of 6,000 plus chatml special tokens for future finetuning. + +## Evaluation + +Evaluated using the `lm-evaluation-harness` (0-shot). + +| Task | Metric | Value | +| :--- | :--- | :--- | +| **BLiMP (Avg)** | acc | 0.6523 | +| ARC-Challenge | acc | 0.1732 | +| ARC-Challenge | acc_norm | 0.2278 | +| ARC-Easy | acc | 0.3443 | +| ARC-Easy | acc_norm | 0.3338 | +| BoolQ | acc | 0.3801 | +| HellaSwag | acc | 0.2667 | +| HellaSwag | acc_norm | 0.2708 | +| PIQA | acc | 0.5647 | +| PIQA | acc_norm | 0.5457 | +| WikiText | bits_per_byte | 1.6987 | +| WikiText | byte_perplexity | 3.2461 | +| WikiText | word_perplexity | 542.6415 | +| Winogrande | acc | 0.5012 | + +## Intended Use + +As a base model that has not undergone any instruction tuning or alignment, michel-nano is very limited in its raw conversational abilities. It is best suited as a lightweight foundation for fine-tuning on specific downstream tasks. Its small footprint and strong grammatical foundation make it highly adaptable for applications such as: +* Text classification (e.g., toxic comment detection, sentiment analysis) +* Lightweight named entity recognition (NER) +* Random toy projects \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..4ca5588 --- /dev/null +++ b/config.json @@ -0,0 +1,32 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 3, + "dtype": "float32", + "eos_token_id": 1, + "head_dim": 64, + "hidden_act": "silu", + "hidden_size": 256, + "initializer_range": 0.02, + "intermediate_size": 704, + "max_position_embeddings": 1024, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 4, + "num_hidden_layers": 6, + "num_key_value_heads": 2, + "pad_token_id": 2, + "pretraining_tp": 1, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000.0, + "rope_type": "default" + }, + "tie_word_embeddings": true, + "transformers_version": "5.10.2", + "use_cache": false, + "vocab_size": 6000 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..f8a5a4b --- /dev/null +++ b/generation_config.json @@ -0,0 +1,12 @@ +{ + "_from_model_config": true, + "bos_token_id": 3, + "eos_token_id": [ + 1 + ], + "output_attentions": false, + "output_hidden_states": false, + "pad_token_id": 2, + "transformers_version": "5.10.2", + "use_cache": true +} diff --git a/mergekit_config.yml b/mergekit_config.yml new file mode 100644 index 0000000..2f835bd --- /dev/null +++ b/mergekit_config.yml @@ -0,0 +1,9 @@ +models: + - model: /home/nvidia/pretrain/michel-nano/checkpoint-60000/ + - model: /home/nvidia/pretrain/michel-nano/checkpoint-70000/ +merge_method: slerp +base_model: /home/nvidia/pretrain/michel-nano/checkpoint-60000/ +parameters: + t: + - value: 0.5 # This means a 50/50 blend of the two checkpoints +dtype: float32 # Keep 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