linux-meta-llama is an open-weight model from Yun.cz, released under Meta Llama 3.1 Community License. It has 131,072-token context. Its published files total 24.9 GB. It draws 3k downloads a month.
Parameters—
Context131,072
Weights24.8 GB
Licensellama3.1
AccessOpen weights
Monthly Downloads3k
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- LlamaForCausalLM
- Context length (tokens)
- 131,072
- Layers
- 32
- Hidden size
- 4,096
- Feed-forward size
- 14,336
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 128,256
- RoPE base
- 500000
- Stored precision
- float16
- Model type
- llama
Identity and Version
- Repository
- yun2022/linux-meta-llama
- Publisher
- Yun.cz
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- d1f8c1330a974ada849dc4a097247c2aa537912e
- First published
- 2025-04-05
- Last updated
- 2026-10-14
Files and Weights
79 files, 24.9 GB in total. The weights are 6 files totalling 24.8 GB in bin, gguf, safetensors.
Weights6 files · 24.8 GB
Configuration31 files · 1.5 MB
Tokenizer2 files · 17.3 MB
Documentation1 file · 157 B
Other38 files · 122.7 MB
Repository1 file · 4.1 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 167.8 MB | d7df43f0aea9 |
| linux-meta-llama.gguf | Weights | 8.5 GB | 72b5ecdd3fc4 |
| pytorch_model-00001-of-00004.bin | Weights | 5.0 GB | 0f3618315dde |
| pytorch_model-00002-of-00004.bin | Weights | 5.0 GB | 4edf91cf6177 |
| pytorch_model-00003-of-00004.bin | Weights | 4.9 GB | fa3b9c24313f |
| pytorch_model-00004-of-00004.bin | Weights | 1.2 GB | 5a43620a5f03 |
| adapter_config.json | Configuration | 813 B | — |
| config.json | Configuration | 924 B | — |
| generation_config.json | Configuration | 230 B | — |
| json/1-Aiden-sam3d-人体白模渲染！！1111.json | Configuration | 47.0 KB | — |
| json/1-Aiden-动作迁移升级版本！1111.json | Configuration | 189.4 KB | — |
| json/Vantage-Minimax-H3_Q4K_M_Ref2VA_低显存链路.json | Configuration | 60.4 KB | — |
| json/gf30_远景_完整30秒_UI版.json | Configuration | 143.6 KB | — |
| json/gf30_远景_完整30秒_UI版_FastH3_低显存.json | Configuration | 175.2 KB | — |
| json/minimax_h3_i2v_fastH3_trim_base.json | Configuration | 43.1 KB | — |
| pytorch_model.bin.index.json | Configuration | 23.9 KB | — |
| special_tokens_map.json | Configuration | 459 B | — |
| voice/Minimax+H3+Veda+稀疏注意力8步极速版+参考生视频.json | Configuration | 52.8 KB | — |
| voice/Minimax+H3+Veda+稀疏注意力8步极速版+文生视频.json | Configuration | 39.5 KB | — |
| voice/Minimax+H3+Veda+稀疏注意力8步极速版+首尾帧.json | Configuration | 41.7 KB | — |
| voice/SeedVR2+视频放大.json | Configuration | 29.2 KB | — |
| voice/SeedVR2_视频放大_v25.json | Configuration | 20.8 KB | — |
| voice/desk_gf_full.json | Configuration | 82.9 KB | — |
| voice/desk_gf_full_v2_已修正.json | Configuration | 83.0 KB | — |
| voice/desk_gf_v4_最终.json | Configuration | 84.9 KB | — |
| voice/gf2_seg_stitch_ui.json | Configuration | 31.3 KB | — |
| voice/image_qwen_image_2_1_character_sheet_with_clothes.json | Configuration | 29.2 KB | — |
| voice/image_qwen_image_2_1_image_edit_nollm.json | Configuration | 16.3 KB | — |
| voice/kelong-tts.json | Configuration | 8.7 KB | — |
| voice/kelong_qwen.json | Configuration | 7.6 KB | — |
| voice/mmh3_f07_latent_upscale.json | Configuration | 58.4 KB | — |
| voice/mmh3_f07_official.json | Configuration | 74.1 KB | — |
| voice/person_bg_replace_depth_h3_person_only.json | Configuration | 32.5 KB | — |
| voice/克隆声音+_+Index-TTS+官方版.json | Configuration | 8.7 KB | — |
| voice/抠图工作流.json | Configuration | 5.2 KB | — |
| voice/方言语音（qwen3-tts）.json | Configuration | 7.4 KB | — |
| voice/桌面女友_完整工作流_27s_1080p对齐版.json | Configuration | 51.1 KB | — |
| README.md | Documentation | 157 B | — |
| voice/1_对话女生.MP3 | Other | 150.1 KB | 6d7758e0c0b4 |
| voice/2.mp4 | Other | 1.5 MB | b89a8117a60f |
| voice/2026-01-12_000021_00001.mp4 | Other | 3.4 MB | 27e46f2b8ef0 |
| voice/2026-01-13-2_130105_00001.png | Other | 1.6 MB | 3f65f75a88ca |
| voice/3视图.png | Other | 1.5 MB | 1f1f90cf31b7 |
| voice/aoguang.mp3 | Other | 152.6 KB | 5d4fc15df35e |
| voice/v2_01_开场白.mp3 | Other | 156.7 KB | a031fe0473ce |
| voice/v2_02_第1章.mp3 | Other | 318.4 KB | b8d07e1c3325 |
| voice/v2_03_第2章.mp3 | Other | 323.3 KB | 7c6214b2c274 |
| voice/v2_04_第3章.mp3 | Other | 369.8 KB | 817516e9cf5e |
| voice/v2_05_第4章.mp3 | Other | 363.0 KB | 5f871af6717f |
| voice/v2_06_第5章.mp3 | Other | 341.4 KB | e0118ff133fd |
| voice/v2_07_第6章.mp3 | Other | 301.1 KB | e5e8f2141d4f |
| voice/v2_08_第7章.mp3 | Other | 322.8 KB | 6b6ca42d4f6e |
| voice/v2_09_第8章.mp3 | Other | 384.8 KB | 1c29070f7189 |
| voice/v2_10_第9章.mp3 | Other | 309.6 KB | 6fd6e61b6c9a |
| voice/v2_11_收尾.mp3 | Other | 113.2 KB | 3f57c0ab2f02 |
| voice/voice_full.mp4 | Other | 37.7 MB | 075c89ab9372 |
| voice/voice_v2_01_开场白_00001_.mp4 | Other | 1.8 MB | 1e19e8298e76 |
| voice/voice_v2_02_第1章_00001_.mp4 | Other | 3.7 MB | 97b70d80bef0 |
| voice/voice_v2_03_第2章_00001_.mp4 | Other | 3.7 MB | 6240afb365d2 |
| voice/voice_v2_04_第3章_00001_.mp4 | Other | 4.3 MB | 706acf03bfba |
| voice/voice_v2_05_第4章_00001_.mp4 | Other | 4.1 MB | d06f75ef6c18 |
| voice/voice_v2_06_第5章_00001_.mp4 | Other | 3.9 MB | 4feb10ec87c6 |
| voice/voice_v2_07_第6章_00001_.mp4 | Other | 3.5 MB | 3f084f7204d0 |
| voice/voice_v2_08_第7章_00001_.mp4 | Other | 3.7 MB | f20d822a29f9 |
| voice/voice_v2_09_第8章_00001_.mp4 | Other | 4.5 MB | 32199a221df0 |
| voice/voice_v2_10_第9章_00001_.mp4 | Other | 3.6 MB | e0b4e02378fd |
| voice/voice_v2_11_收尾_00001_.mp4 | Other | 1.4 MB | d36ff0358dc5 |
| voice/人物1.jpg | Other | 76.0 KB | — |
| voice/数字人.png | Other | 1.4 MB | dbc1369e286a |
| voice/服装1.jpg | Other | 68.5 KB | — |
| voice/桌面女友_10s_近景_抠图人物_SeedVR2放大_00001_.mp4 | Other | 5.2 MB | bc91fb8df7f1 |
| voice/桌面女友_10s_近景_抠图人物_SeedVR2放大_00002_.mp4 | Other | 5.2 MB | d63a68e55920 |
| voice/桌面女友_10s_近景_抠图人物_SeedVR2放大_00003_.mp4 | Other | 6.1 MB | 49de4065a41b |
| voice/桌面女友_10s_近景_抠图人物_SeedVR2放大_00005_.mp4 | Other | 5.1 MB | 0e4667951d0c |
| voice/桌面女友_30s_分段拼接v2_00001_.mp4 | Other | 12.0 MB | 5e76214c240d |
| voice/桌面女友视频提示词.txt | Other | 13.2 KB | — |
| .gitattributes | Repository | 4.1 KB | — |
| tokenizer.json | Tokenizer | 17.2 MB | 6b9e4e7fb171 |
| tokenizer_config.json | Tokenizer | 50.6 KB | — |
License and Download
- License
- llama3.1
- Access
- Open weights, no gate
- Download size
- 24.8 GB
Download from Yun.cz
Released by Yun.cz through its official repository on Hugging Face.
Built From
- Derived from unsloth/Meta-Llama-3.1-8B
- Quantized from unsloth/Meta-Llama-3.1-8B
- Trained on (disclosed) Rohithqwerty/linux_data
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 24.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About linux-meta-llama
Can I use linux-meta-llama commercially?
Yes, with conditions. linux-meta-llama is released under Meta Llama 3.1 Community License. The Llama 3.1 Community License permits commercial use, except that a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta. It requires attribution as the license specifies and compliance with Meta's Acceptable Use Policy.
What is linux-meta-llama's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.