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Model: Entrit/Qwen2.5-3B-trit-uniform-d3 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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base_model: Qwen/Qwen2.5-3B
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tags:
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- quantization
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- ternary
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- balanced-ternary
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- tritllm
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library_name: transformers
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---
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# Qwen2.5-3B-trit-uniform-d3
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Balanced ternary quantization of [`Qwen/Qwen2.5-3B`](https://huggingface.co/Qwen/Qwen2.5-3B) at depth **d=3** (27 levels per weight, **5.05 bits per weight**).
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Produced with the codec from **"Balanced Ternary Post-Training Quantization for Large Language Models"** (Stentzel, 2026). See [Entrit/tritllm-codec](https://huggingface.co/Entrit/tritllm-codec) for the codec source.
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## Quick load
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("Entrit/Qwen2.5-3B-trit-uniform-d3")
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tokenizer = AutoTokenizer.from_pretrained("Entrit/Qwen2.5-3B-trit-uniform-d3")
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```
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The weights are dequantized to FP16 for stock-`transformers` compatibility. The on-disk size is therefore the same as the FP16 source. The 5.05-bpw figure refers to the *information content* of the quantized matrices and is what matters for inference on hardware that consumes the packed trit format directly (see [Entrit/tritllm-kernel](https://huggingface.co/Entrit/tritllm-kernel)).
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## Quantization details
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| Field | Value |
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|---|---|
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| Source model | [`Qwen/Qwen2.5-3B`](https://huggingface.co/Qwen/Qwen2.5-3B) |
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| Depth | d=3 (27 levels) |
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| Bits per weight | 5.05 |
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| Group size | 16 |
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| Scale codebook | 27-entry log-spaced (scale_depth=3) |
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| Method | Uniform PTQ |
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| Quantized layers | all 2D linear matrices |
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| Kept FP16 | `lm_head`, token embeddings, all `*_norm` layers |
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| Codec | tritllm v2 |
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## Citation
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```
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@article{stentzel2026ternaryptq,
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title = {Balanced Ternary Post-Training Quantization for Large Language Models},
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author = {Stentzel, Eric},
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year = 2026,
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note = {Entrit Systems}
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}
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```
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## Reproducibility
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```bash
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git clone https://huggingface.co/Entrit/tritllm-codec
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cd tritllm-codec
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python quantize_model_v2.py --model Qwen/Qwen2.5-3B --configs uniform-d3 --out ./out
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```
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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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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "float16",
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 36,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 36,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.5.3",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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"transformers_version": "5.5.3"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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tokenizer.json
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tokenizer_config.json
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"clean_up_tokenization_spaces": false,
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"tokenizer_class": "Qwen2Tokenizer",
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}
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