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Model: jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-INT4
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+  - en
+license: apache-2.0
+library_name: transformers
+base_model: HuggingFaceTB/SmolLM2-1.7B
+pipeline_tag: text-generation
+tags:
+  - quantization
+  - qat
+  - quantization-aware-training
+  - scheduled-qat
+  - smollm2
+  - edge-deployment
+model_name: SmolLM2-1.7B Scheduled QAT Linear INT4
+datasets:
+  - wikitext
+---
+
+# SmolLM2-1.7B — Scheduled QAT (Linear Schedule)
+
+This model was produced by **Scheduled Quantization-Aware Training** with a linear precision reduction schedule, targeting INT4 deployment on edge devices (Android, iOS, Raspberry Pi).
+
+## Important
+
+**This model is in bfloat16 — it is NOT quantized.** QAT trains weights to be robust to quantization noise, but the actual quantization happens at export time. For the quantized GGUF versions ready for deployment, see:
+
+**[jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-GGUF](https://huggingface.co/jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-GGUF)**
+
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| **Base model** | [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B) |
+| **Method** | Scheduled QAT (Linear bit-width reduction) |
+| **Training data** | WikiText-103 (4000 sequences × 512 tokens) |
+| **Hardware** | Kaggle TPU v5e-8 (8 cores) |
+| **Epochs** | 1 |
+| **Effective batch size** | 64 (4 per-core × 2 grad accum × 8 cores) |
+| **Learning rate** | 2e-5 (cosine decay) |
+| **Optimizer** | AdamW (weight_decay=0.01) |
+| **Training precision** | bfloat16 |
+| **Training time** | ~1150 seconds |
+
+### Bit-Width Schedule
+
+| Phase | Epoch Range | Bit-width |
+|-------|------------|-----------|
+| Warmup | 0.0 → 0.1 | FP32 (no quantization noise) |
+| Linear reduction | 0.1 → 0.9 | 32 → 16 → 8 → 4 (gradual) |
+| Stabilization | 0.9 → 1.0 | INT4 (final fine-tuning) |
+
+### Results (WikiText-103 Test)
+
+| Metric | Value |
+|--------|-------|
+| Test loss | 3.0392 |
+| Test perplexity | 20.89 |
+
+## How to Use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-INT4",
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-INT4")
+
+inputs = tokenizer("The future of AI is", return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `model.safetensors` | Model weights (bfloat16) |
+| `config.json` | Model architecture config |
+| `tokenizer.json` | Tokenizer |
+| `results.json` | Training results (loss, perplexity) |
+| `training_log.json` | Step-by-step training log |
+
+## Related
+
+- **GGUF (quantized, for deployment):** [jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-GGUF](https://huggingface.co/jpcurada/SmolLM2-1.7B-Scheduled-QAT-Linear-GGUF)
+- **Base model:** [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B)
+
+## Citation
+
+This model is part of a thesis on Scheduled Quantization-Aware Training for Small Language Models targeting edge deployment.
+
+## License
+
+Apache 2.0 (same as base model)

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": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 130000,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.57.1"
+}

model.safetensors

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+size 3422777952

results.json

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+{
+  "method": "scheduled_qat_linear",
+  "model": "HuggingFaceTB/SmolLM2-1.7B",
+  "target_bits": 4,
+  "num_cores": 8,
+  "wikitext103": {
+    "test_loss": 3.0391995906829834,
+    "test_perplexity": 20.88851717837168
+  },
+  "training": {
+    "total_steps": 186,
+    "elapsed_seconds": 1149.5,
+    "per_core_batch": 1,
+    "grad_accum_steps": 8,
+    "global_eff_batch": 64,
+    "seq_length": 512,
+    "learning_rate": 2e-05,
+    "epochs": 3,
+    "final_bits": 4
+  },
+  "schedule": {
+    "type": "linear",
+    "warmup_epochs": 0.1,
+    "stabilization_epochs": 0.3,
+    "start_bits": 32,
+    "target_bits": 4
+  }
+}

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<repo_name>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<reponame>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<file_sep>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<filename>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<gh_stars>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "<issue_start>",
+      "lstrip": false,
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+      "content": "<issue_comment>",
+      "lstrip": false,
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+      "content": "<issue_closed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+      "content": "<jupyter_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "<jupyter_text>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "13": {
+      "content": "<jupyter_code>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "content": "<jupyter_script>",
+      "lstrip": false,
+      "normalized": false,
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+      "special": true
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+    "16": {
+      "content": "<empty_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 8192,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}