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Model: celestialcreator/axon-smollm2-360m Source: Original Platform
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README.md
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README.md
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---
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language: en
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license: apache-2.0
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library_name: transformers
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tags:
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- smollm2
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- lora
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- portfolio-assistant
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- transformers.js
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- webgpu
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base_model: HuggingFaceTB/SmolLM2-360M-Instruct
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pipeline_tag: text-generation
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---
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# Axon — SmolLM2-360M Portfolio Assistant
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Fine-tuned [SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) to serve as a personal portfolio AI assistant. Runs entirely in the browser via WebGPU + Transformers.js.
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## What is Axon?
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Axon is a client-side AI assistant embedded in a Three.js 3D portfolio website. It answers questions about the portfolio owner (Akshay Mhaskar) — work experience, skills, projects, and contact info. Zero backend, zero API costs, fully private.
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## Training
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- **Method:** LoRA (rank=32, alpha=64) fine-tuning via TRL SFTTrainer
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- **Dataset:** 1,001 curated chat examples (knowledge Q&A, refusal training, edge cases)
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- **Hardware:** NVIDIA RTX 5090
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- **Base model:** SmolLM2-360M-Instruct
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- **Precision:** bf16
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- **Train loss:** 1.33
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- **Eval loss:** 0.94
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- **Token accuracy:** 80%
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- **Training time:** 6 minutes
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## Usage (Browser — Transformers.js)
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```javascript
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import { pipeline } from '@huggingface/transformers';
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const generator = await pipeline('text-generation', 'celestialcreator/axon-smollm2-360m', {
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dtype: 'q4f16',
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device: 'webgpu',
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});
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const result = await generator([
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{ role: 'user', content: 'Who is Akshay?' }
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], { max_new_tokens: 150 });
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```
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## Usage (Python)
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```python
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from transformers import pipeline
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pipe = pipeline("text-generation", model="celestialcreator/axon-smollm2-360m")
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result = pipe([{"role": "user", "content": "Who is Akshay?"}], max_new_tokens=150)
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```
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chat_template.jinja
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{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
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You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
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' }}{% endif %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "float32",
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 960,
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"initializer_range": 0.02,
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"intermediate_size": 2560,
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"is_llama_config": true,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 15,
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}
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"vocab_size": 49152
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}
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generation_config.json
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generation_config.json
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}
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