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Model: meftah416/gemma-eppy-270m
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: unsloth/gemma-3-270m-it
+library_name: transformers
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- gemma
+- trl
+- sft
+- energyplus
+- eppy
+- building-simulation
+license: apache-2.0
+language:
+- en
+datasets:
+- self-created
+pipeline_tag: text-generation
+---
+
+# Gemma-3-270M Fine-tuned for EnergyPlus & eppy
+
+**Developed by:** meftah416  
+**Model License:** apache-2.0  
+**Base Model:** [unsloth/gemma-3-270m-it](https://huggingface.co/unsloth/gemma-3-270m-it)
+
+This model was trained **2x faster with [Unsloth](https://github.com/unslothai/unsloth)** ⚡
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+---
+
+## Model Overview
+A specialized Gemma-3-270M model fine-tuned on **EnergyPlus building simulation and eppy Python API** tasks. This model understands and generates text related to building energy simulation, HVAC systems, thermal zones, schedules, and eppy scripting.
+
+### Key Features
+- ✨ Fine-tuned on 2,700 high-quality training examples
+- ✅ Validated on 300 test examples
+- 🚀 2x faster training with Unsloth
+- 💾 Lightweight (270M parameters)
+- 🎯 Domain-specific for EnergyPlus + eppy
+---
+
+## Training Details
+
+| Metric | Value |
+|--------|-------|
+| **Base Model** | unsloth/gemma-3-270m-it |
+| **Training Samples** | 2,700 |
+| **Validation Samples** | 300 |
+| **Total Data** | 3,000 examples |
+| **Data Source** | Self-created |
+| **Domain** | EnergyPlus IDF + eppy Python |
+| **Batch Size** | 2 |
+| **Learning Rate** | 2e-5 |
+| **Optimizer** | adamw_8bit |
+| **Epochs** | 1 |
+| **Max Sequence Length** | 2600 |
+| **Training Framework** | Unsloth + TRL (SFTTrainer) |
+| **Precision** | float16 |
+
+---
+## Model Capabilities
+This model is trained to handle:
+
+### EnergyPlus Tasks
+- Generate EnergyPlus IDF snippets from descriptions
+- Explain EnergyPlus object syntax
+- Create thermal zone definitions
+- Define HVAC system configurations
+- Generate occupancy and schedule objects
+### eppy Tasks
+- Generate eppy Python code for building simulations
+- Explain eppy API usage
+- Create building objects programmatically
+- Manipulate IDF files with eppy
+---
+## Usage
+### Basic Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("meftah416/gemma-eppy-270m")
+tokenizer = AutoTokenizer.from_pretrained("meftah416/gemma-eppy-270m")
+
+# Create messages in correct format
+messages = [
+    {"role": "system", "content": "Set infiltration to 0.4 ACH"},
+    {"role": "user", "content": ""},
+]
+
+# Apply chat template (IMPORTANT!)
+prompt = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+).removeprefix('<bos>')
+
+# Generate
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=2600)
+result = tokenizer.decode(outputs[0])
+```
+# Save to model README on Hub
+---
+## Performance
+- **Inference Speed:** ~50-100 tokens/sec (A10 GPU)
+- **Memory Usage:** 3-4 GB VRAM (float16)
+- **Context Window:** 8192 tokens
+---
+## Limitations
+⚠️ Always validate generated EnergyPlus IDF files before running simulations. Model may occasionally generate incorrect syntax.
+
+---
+## License
+Apache 2.0 License
+
+---
+**Created by:** meftah416

chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{ '<start_of_turn>model
+' }}
+{%- endif -%}

config.json

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+{
+  "_sliding_window_pattern": 6,
+  "architectures": [
+    "Gemma3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": null,
+  "bos_token_id": 2,
+  "dtype": "bfloat16",
+  "eos_token_id": 106,
+  "final_logit_softcapping": null,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 640,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "model_name": "unsloth/gemma-3-270m-it",
+  "model_type": "gemma3_text",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "full_attention": {
+      "rope_theta": 1000000.0,
+      "rope_type": "default"
+    },
+    "sliding_attention": {
+      "rope_theta": 10000.0,
+      "rope_type": "default"
+    }
+  },
+  "sliding_window": 512,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.0",
+  "unsloth_fixed": true,
+  "unsloth_version": "2026.5.10",
+  "use_bidirectional_attention": false,
+  "use_cache": false,
+  "vocab_size": 262144
+}

generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "max_length": 32768,
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "5.5.0"
+}

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tokenizer.json

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tokenizer.model

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