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Model: QuantLLM/SmolLM2-135M-QuantLLM
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+library_name: transformers
+language:
+  - en
+tags:
+  - quantllm
+  - transformers
+  - safetensors
+pipeline_tag: text-generation
+---
+
+<div align="center">
+
+# 🤗 SmolLM2-135M-QuantLLM
+
+**HuggingFaceTB/SmolLM2-135M** converted to **SAFETENSORS** format
+
+[![QuantLLM](https://img.shields.io/badge/🚀_Made_with-QuantLLM-orange?style=for-the-badge)](https://github.com/codewithdark-git/QuantLLM)
+[![Format](https://img.shields.io/badge/Format-SAFETENSORS-blue?style=for-the-badge)]()
+
+
+<a href="https://github.com/codewithdark-git/QuantLLM">⭐ Star QuantLLM on GitHub</a>
+
+</div>
+
+---
+
+
+## 📖 About This Model
+
+This model is **[HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M)** converted to **SafeTensors** format for use with HuggingFace Transformers and PyTorch.
+
+| Property | Value |
+|----------|-------|
+| **Base Model** | [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) |
+| **Format** | SAFETENSORS |
+| **Quantization** | None (Full Precision) |
+| **License** | apache-2.0 |
+| **Created With** | [QuantLLM](https://github.com/codewithdark-git/QuantLLM) |
+
+
+## 🚀 Quick Start
+
+### With Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("codewithdark/SmolLM2-135M-QuantLLM")
+tokenizer = AutoTokenizer.from_pretrained("codewithdark/SmolLM2-135M-QuantLLM")
+
+# Generate text
+inputs = tokenizer("Once upon a time", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100, do_sample=True)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### With QuantLLM
+
+```python
+from quantllm import TurboModel
+
+# Load with automatic optimization
+model = TurboModel.from_pretrained("codewithdark/SmolLM2-135M-QuantLLM")
+
+# Generate
+response = model.generate("Write a poem about coding")
+print(response)
+```
+
+### Requirements
+
+```bash
+pip install transformers torch
+```
+
+
+## 📊 Model Details
+
+| Property | Value |
+|----------|-------|
+| **Original Model** | [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) |
+| **Format** | SAFETENSORS |
+| **Quantization** | Full Precision |
+| **License** | `apache-2.0` |
+| **Export Date** | 2026-04-29 |
+| **Exported By** | [QuantLLM v2.1](https://github.com/codewithdark-git/QuantLLM) |
+
+
+
+---
+
+## 🚀 Created with QuantLLM
+
+<div align="center">
+
+[![QuantLLM](https://img.shields.io/badge/🚀_QuantLLM-Ultra--fast_LLM_Quantization-orange?style=for-the-badge)](https://github.com/codewithdark-git/QuantLLM)
+
+**Convert any model to GGUF, ONNX, or MLX in one line!**
+
+```python
+from quantllm import turbo
+
+# Load any HuggingFace model
+model = turbo("HuggingFaceTB/SmolLM2-135M")
+
+# Export to any format
+model.export("safetensors", quantization="Q4_K_M")
+
+# Push to HuggingFace
+model.push("your-repo", format="safetensors")
+```
+
+<a href="https://github.com/codewithdark-git/QuantLLM">
+  <img src="https://img.shields.io/github/stars/codewithdark-git/QuantLLM?style=social" alt="GitHub Stars">
+</a>
+
+**[📚 Documentation](https://github.com/codewithdark-git/QuantLLM#readme)** · 
+**[🐛 Report Issue](https://github.com/codewithdark-git/QuantLLM/issues)** · 
+**[💡 Request Feature](https://github.com/codewithdark-git/QuantLLM/issues)**
+
+</div>
+
+
+## 📊 Export Details
+
+Exported with [QuantLLM](https://github.com/codewithdark-git/QuantLLM) from `HuggingFaceTB/SmolLM2-135M` (134.5M params).
+
+| Property | Value |
+|----------|-------|
+| **Format** | SafeTensors |
+| **Size** | 541.6 MB |
+| **Parameters** | 134.5M |
+| **Dtype** | float32 |
+
+### How to use
+
+

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "float32",
+  "eos_token_id": 0,
+  "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": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_parameters": {
+    "rope_theta": 100000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.7.0",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "5.7.0"
+}

model.safetensors

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+oid sha256:19db913ad817fcd5d544972dfe168ed96f7c9c8cd40ef431da285f016cadbc1c
+size 538090408

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 8192,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}