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Model: Entrit/Qwen2.5-7B-trit-uniform-d2 Source: Original Platform
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60
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/Qwen2.5-7B
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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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# Qwen2.5-7B-trit-uniform-d2
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Balanced ternary quantization of [`Qwen/Qwen2.5-7B`](https://huggingface.co/Qwen/Qwen2.5-7B) at depth **d=2** (9 levels per weight, **3.47 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/Qwen2.5-7B-trit-uniform-d2")
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tokenizer = AutoTokenizer.from_pretrained("Entrit/Qwen2.5-7B-trit-uniform-d2")
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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 3.47-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/Qwen2.5-7B`](https://huggingface.co/Qwen/Qwen2.5-7B) |
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| Depth | d=2 (9 levels) |
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| Bits per weight | 3.47 |
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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/Qwen2.5-7B --configs uniform-d2 --out ./out
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```
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{%- else %}
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{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{{- '\n' + message.content }}
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{%- if tool_call.function is defined %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{{- message.content }}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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62
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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"dtype": "float16",
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"hidden_act": "silu",
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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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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"vocab_size": 152064
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}
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": false,
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"max_new_tokens": 2048,
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"transformers_version": "5.5.0"
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}
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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa44baa7f2e7ec25d936f2fca7f827257bac645dc9b0709e6aab5b8b23abbe37
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size 15231271816
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21
quantization_config.json
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quantization_config.json
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{
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"model": "qwen2.5-7B",
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"codec": "uniform-d2",
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"bpw": 3.467105470327524,
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"mode": "uniform",
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"scale_depth": 3,
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"depth": 2
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}
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}
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3
tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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size 11421892
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tokenizer_config.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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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"is_local": true,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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