Upload smollm2-1.7b-instruct ONNX model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+model.onnx_data filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: onnx
+tags:
+  - text-generation
+  - smollm2
+  - llama
+  - onnx
+  - inference4j
+license: apache-2.0
+pipeline_tag: text-generation
+---
+
+# SmolLM2-1.7B-Instruct — ONNX (FP16)
+
+ONNX export of [SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) (1.7B parameters, FP16 weights) with KV cache support for efficient autoregressive generation.
+
+Converted for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.
+
+## Original Source
+
+- **Repository:** [HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct)
+- **License:** Apache 2.0
+
+## Usage with inference4j
+
+```java
+try (var gen = OnnxTextGenerator.smolLM2_1_7B().build()) {
+    GenerationResult result = gen.generate("What is Java?");
+    System.out.println(result.text());
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | LlamaForCausalLM (1.7B parameters, 24 layers, 2048 hidden, 32 heads, 32 KV heads) |
+| Task | Text generation (instruction-tuned) |
+| Precision | FP16 |
+| Context length | 8192 tokens |
+| Vocabulary | 49,152 tokens (BPE) |
+| Chat template | ChatML (`<|im_start|>user`...`<|im_end|>`) |
+| Original framework | PyTorch (transformers) |
+| Export method | Hugging Face Optimum (with KV cache, FP16) |
+
+## License
+
+This model is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). Original model by [HuggingFace](https://huggingface.co/HuggingFaceTB).

chat_template.jinja

@@ -0,0 +1,6 @@
+{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
+You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
+' }}{% endif %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "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,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 130000,
+  "tie_word_embeddings": true,
+  "transformers.js_config": {
+    "dtype": "q4",
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    },
+    "use_external_data_format": {
+      "model.onnx": true,
+      "model_fp16.onnx": true
+    }
+  },
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 49152
+}

model.onnx

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model.onnx_data

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+size 3825406080

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": {
+    "content": "<|im_start|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|im_end|>",
+    "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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+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
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+  "vocab_size": 49152
+}