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Model: oscardean/smollm2-135m-text2cypher Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- HuggingFaceTB/SmolLM2-135M-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text2cypher
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- cypher
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- graph-databases
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- supervised-fine-tuning
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- cpu-training
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---
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# SmolLM2-135M Text2Cypher
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Fine-tuned `HuggingFaceTB/SmolLM2-135M-Instruct` for generating Cypher queries from a graph schema and a natural-language question.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "oscardean/smollm2-135m-text2cypher"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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messages = [
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{
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"role": "system",
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"content": (
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"You translate natural-language questions into Cypher queries. "
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"Use only the supplied graph schema and return only the Cypher query."
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),
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},
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{
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"role": "user",
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"content": (
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"Graph schema:\n"
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"Person {name: STRING}\n"
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"Movie {title: STRING, year: INTEGER}\n"
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"(Person)-[:DIRECTED]->(Movie)\n\n"
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"Question:\n"
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"Which movies did Christopher Nolan direct before 2010?"
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),
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},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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return_tensors="pt",
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)
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outputs = model.generate(
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inputs,
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max_new_tokens=192,
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do_sample=False,
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)
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prediction = tokenizer.decode(
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outputs[0, inputs.shape[1]:],
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skip_special_tokens=True,
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)
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print(prediction)
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```
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## Training
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| Hyperparameter | Value |
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| ----------------------- | ---------------------: |
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| Training samples | 1,000 |
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| Validation samples | 75 |
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| Epochs | 3 |
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| Learning rate | `5e-5` |
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| Batch size | 2 |
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| Gradient accumulation | 4 |
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| Effective batch size | 8 |
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| Weight decay | `0.01` |
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| Warmup ratio | `0.05` |
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| Maximum sequence length | 800 |
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| Decoding | Greedy |
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| Checkpoint selection | Lowest validation loss |
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## Evaluation
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Evaluated on the 50-sample test split.
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| Metric | Base | Fine-tuned |
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| ---------------------- | -----: | ---------: |
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| Basic query structure | 2.00% | 100.00% |
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| Token F1 | 12.35% | 55.20% |
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| Node-label agreement | 0.00% | 58.00% |
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| Component match rate | 29.20% | 49.60% |
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| Normalized exact match | 0.00% | 0.00% |
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## Limitations
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* May hallucinate labels, relationships, or properties.
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* May omit filters, constants, or return fields.
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* May repeat conditions.
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* May use incorrect relationship directions or operators.
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* May generate SQL-like syntax instead of valid Cypher.
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* Can produce structurally plausible but semantically incorrect queries.
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* Should be validated before execution.
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* Not intended for direct production use.
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chat_template.jinja
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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": "bfloat16",
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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": 576,
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"initializer_range": 0.041666666666666664,
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"intermediate_size": 1536,
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"is_llama_config": true,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 9,
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"num_hidden_layers": 30,
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"num_key_value_heads": 3,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_interleaved": false,
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"rope_parameters": {
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"rope_theta": 100000,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers.js_config": {
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"kv_cache_dtype": {
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"fp16": "float16",
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"q4f16": "float16"
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}
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},
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"transformers_version": "5.12.0",
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"use_cache": false,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": [
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2
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],
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"pad_token_id": 2,
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"transformers_version": "5.12.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 269060552
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tokenizer.json
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|im_start|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 8192,
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"pad_token": "<|im_end|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>",
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"vocab_size": 49152
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}
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training_args.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:065240e3c5b00eb523d1d9ccac1fcd223b2a16a1c473ab2461e83d5e4a6a2ce5
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size 5201
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