Open-weight model · Question answering
uzbek-llama-3.1-8B-instruct-v2-GGUF
by Team Mradermacher mradermacher/uzbek-llama-3.1-8B-instruct-v2-GGUF
static quants of https://huggingface.co/behbudiy/Llama-3.1-8B-Instruct-Uz For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time.
Parameters—
Context—
Weights82.8 GB
Licensellama3.1
AccessOpen weights
Monthly Downloads2k
Model Card
static quants of https://huggingface.co/behbudiy/Llama-3.1-8B-Instruct-Uz For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) Here is a handy graph by ikawrakow comparing some lower-quality…
Excerpt from the card by Team Mradermacher, licensed llama3.1.
Identity and Version
- Repository
- mradermacher/uzbek-llama-3.1-8B-instruct-v2-GGUF
- Publisher
- Team Mradermacher
- Task
- Question answering
- Modality
- Text
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- uz, en
- Revision
- 91c13a9ad2bf3f8a10f4104d89027e582ff26e29
- First published
- 2024-08-01
- Last updated
- 2025-08-21
Files and Weights
17 files, 82.8 GB in total. The weights are 15 files totalling 82.8 GB in gguf.
Weights15 files · 82.8 GB
Documentation1 file · 4.5 KB
Repository1 file · 2.6 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| uzbek-llama-3.1-8B-instruct-v2.IQ3_M.gguf | Weights | 3.8 GB | 6e3d047ebdbf |
| uzbek-llama-3.1-8B-instruct-v2.IQ3_S.gguf | Weights | 3.7 GB | 7eb3e3e2a2ae |
| uzbek-llama-3.1-8B-instruct-v2.IQ3_XS.gguf | Weights | 3.5 GB | 5c52c1dccac0 |
| uzbek-llama-3.1-8B-instruct-v2.IQ4_XS.gguf | Weights | 4.5 GB | a7feee847f96 |
| uzbek-llama-3.1-8B-instruct-v2.Q2_K.gguf | Weights | 3.2 GB | de36f72079d9 |
| uzbek-llama-3.1-8B-instruct-v2.Q3_K_L.gguf | Weights | 4.3 GB | 8fdfa6878974 |
| uzbek-llama-3.1-8B-instruct-v2.Q3_K_M.gguf | Weights | 4.0 GB | 5391d687a39d |
| uzbek-llama-3.1-8B-instruct-v2.Q3_K_S.gguf | Weights | 3.7 GB | d4d4fd81d905 |
| uzbek-llama-3.1-8B-instruct-v2.Q4_K_M.gguf | Weights | 4.9 GB | 93126ec7357f |
| uzbek-llama-3.1-8B-instruct-v2.Q4_K_S.gguf | Weights | 4.7 GB | 42639dcb70e2 |
| uzbek-llama-3.1-8B-instruct-v2.Q5_K_M.gguf | Weights | 5.7 GB | af5a3825a4bc |
| uzbek-llama-3.1-8B-instruct-v2.Q5_K_S.gguf | Weights | 5.6 GB | f1c492a4aa48 |
| uzbek-llama-3.1-8B-instruct-v2.Q6_K.gguf | Weights | 6.6 GB | c8cf6ef28329 |
| uzbek-llama-3.1-8B-instruct-v2.Q8_0.gguf | Weights | 8.5 GB | 617d2ea9c163 |
| uzbek-llama-3.1-8B-instruct-v2.f16.gguf | Weights | 16.1 GB | c2cd1855e209 |
| README.md | Documentation | 4.5 KB | — |
| .gitattributes | Repository | 2.6 KB | — |
License and Download
- License
- llama3.1
- Access
- Open weights, no gate
- Download size
- 82.8 GB
Download from Team Mradermacher
Released by Team Mradermacher through its official repository on Hugging Face.
Built From
- Derived from behbudiy/Llama-3.1-8B-Instruct-Uz
- Quantized from behbudiy/Llama-3.1-8B-Instruct-Uz
- Trained on (disclosed) behbudiy/alpaca-cleaned-uz
- Trained on (disclosed) behbudiy/translation-instruction
- Trained on (disclosed) yahma/alpaca-cleaned
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 82.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About uzbek-llama-3.1-8B-instruct-v2-GGUF
Can I use uzbek-llama-3.1-8B-instruct-v2-GGUF commercially?
Yes, with conditions. uzbek-llama-3.1-8B-instruct-v2-GGUF 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.
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