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Open-weight model

leviathan-10.5b-final

by Lin Chang-chih/leviathan-10.5b-final

leviathan-10.5b-final is an open-weight model from Lin, released under Apache License 2.0. It has 4,096-token context. Its published files total 5.9 GB. It draws 21 downloads a month.

這是由 wangguo-2026 開發與封裝的利維坦核心模型 (Leviathan Core)。本模型經過嚴格的監督微調 (SFT),針對繁體中文邏輯互動與任務執行進行了深度優化。 架構: Llama (Base) 精確度: bfloat16 你可以透過 Hugging Face 函式庫輕鬆載入此模型: 內建 Chat Template,支援標準對話格式。 本模型遵循 Apache 2.0 授權協議。

Parameters—
Context4,096
Weights5.9 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads21

Model Card

By Lin, published under apache-2.0, revision 95212f7d45d1.

這是由 wangguo-2026 開發與封裝的利維坦核心模型 (Leviathan Core)。本模型經過嚴格的監督微調 (SFT),針對繁體中文邏輯互動與任務執行進行了深度優化。 架構: Llama (Base) 精確度: bfloat16 你可以透過 Hugging Face 函式庫輕鬆載入此模型: 內建 Chat Template,支援標準對話格式。 本模型遵循 Apache 2.0 授權協議。

Read Lin's full model card

這是由 wangguo-2026 開發與封裝的利維坦核心模型 (Leviathan Core)。本模型經過嚴格的監督微調 (SFT),針對繁體中文邏輯互動與任務執行進行了深度優化。

模型規格

  • 架構: Llama (Base)
  • 參數: 10.5B
  • 精確度: bfloat16
  • 用途: 多任務對話、邏輯推理、繁體中文互動

快速開始

你可以透過 Hugging Face 函式庫輕鬆載入此模型:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "你的使用者名稱/leviathan-10.5b-final"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

模型特性

  • 內建 Chat Template,支援標準對話格式。
  • 針對繁體中文語境進行了對齊,確保語言自然流暢。

授權

本模型遵循 Apache 2.0 授權協議。

Configuration

Architecture
LlamaForCausalLM
Context length (tokens)
4,096
Layers
40
Hidden size
4,096
Feed-forward size
11,008
Attention heads
32
Key/value heads
32
Head dimension
128
Vocabulary size
102,400
Model type
llama
Quantization
bitsandbytes

Identity and Version

Repository
Chang-chih/leviathan-10.5b-final
Publisher
Lin
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
zh, en
Revision
95212f7d45d1f7b1480b625089ed1530e3a5a332
First published
2026-07-14
Last updated
2026-09-21

Files and Weights

11 files, 5.9 GB in total. The weights are 1 file totalling 5.9 GB in bin.

Weights1 file · 5.9 GB
Configuration2 files · 1.4 KB
Tokenizer2 files · 7.5 MB
Documentation2 files · 12.4 KB
Other3 files · 1.3 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
pytorch_model.binWeights5.9 GB 1638372e18e8
config.jsonConfiguration1.2 KB —
generation_config.jsonConfiguration181 B —
LICENSEDocumentation11.4 KB —
README.mdDocumentation1.0 KB —
ModelfileOther599 B —
chat_template.jinjaOther459 B —
蒸餾的實際流程Other248 B —
.gitattributesRepository1.5 KB —
tokenizer.jsonTokenizer7.5 MB —
tokenizer_config.jsonTokenizer396 B —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
5.9 GB
Download from Lin

Released by Lin through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published5.9 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About leviathan-10.5b-final

Can I use leviathan-10.5b-final commercially?

Yes. leviathan-10.5b-final is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is leviathan-10.5b-final's context length?

4,096 tokens, from the maximum position embeddings in its published configuration.