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Model: gokaygokay/SmolLM2-Prompt-Enhance
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags:
+- trl
+- sft
+license: apache-2.0
+datasets:
+- gokaygokay/prompt-enhancement-75k
+language:
+- en
+base_model:
+- HuggingFaceTB/SmolLM2-135M-Instruct
+pipeline_tag: text-generation
+---
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model_id = "gokaygokay/SmolLM2-Prompt-Enhance"
+tokenizer_id = "HuggingFaceTB/SmolLM2-135M-Instruct"
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained(tokenizer_id )
+model = AutoModelForCausalLM.from_pretrained(model_id).to(device)
+
+# Model response generation functions
+def generate_response(model, tokenizer, instruction, device="cpu"):
+    """Generate a response from the model based on an instruction."""
+    messages = [{"role": "user", "content": instruction}]
+    input_text = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+    inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)
+    outputs = model.generate(
+        inputs, max_new_tokens=256, repetition_penalty=1.2
+    )
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+def print_response(response):
+    """Print the model's response."""
+    print(f"Model response:")
+    print(response.split("assistant\n")[-1])
+    print("-" * 100)
+
+prompt = "cat"
+
+response = generate_response(model, tokenizer, prompt, device)
+print_response(response)
+
+# a gray cat with white fur and black eyes is in the center of an open window on a concrete floor. 
+# The front wall has two large windows that have light grey frames behind them. 
+# here is a small wooden door to the left side of the frame at the bottom right corner. 
+# A metal fence runs along both sides of the image from top down towards the middle ground.
+# Behind the cats face away toward the camera's view it appears as if there is another cat sitting next to the one 
+# they're facing forward against the glass surface above their head.
+```
+
+### Training Script
+
+https://colab.research.google.com/drive/1Gqmp3VIcr860jBnyGYEbHtCHcC49u0mo?usp=sharing
+
+<!-- gokaygokay-citation -->
+## Citation and attribution
+
+This model release is maintained by [Gökay Aydoğan](https://orcid.org/0000-0002-2343-9433). If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
+
+```bibtex
+@software{aydogan2024smollm2_prompt_enhance,
+  author = {Aydoğan, Gökay},
+  title = {{SmolLM2-Prompt-Enhance}},
+  year = {2024},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/gokaygokay/SmolLM2-Prompt-Enhance},
+  note = {Model repository; cite the base model and upstream datasets as required.}
+}
+```

config.json

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+{
+  "_name_or_path": "HuggingFaceTB/SmolLM2-135M-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.041666666666666664,
+  "intermediate_size": 1536,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers.js_config": {
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    }
+  },
+  "transformers_version": "4.46.1",
+  "use_cache": true,
+  "vocab_size": 49152
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.46.1"
+}

model.safetensors

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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
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "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.json

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tokenizer_config.json

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+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<repo_name>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "special": true
+    },
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "model_max_length": 2048,
+  "pad_token": "<|im_end|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}