Latxa Llama 3.1 70B Instruct v2 GGUF
For a convenient overview and download list, visit our model page for this model.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 24,6–69,8 GB
- Modelo base
- HiTZ/Latxa-Llama-3.1-70B-Instruct-v2
- Versão
- vRevision f7a2be8
- Atualizado
- 22 de out. de 2026
- Publicador
- @mradermacher
- Downloads
- 209
- Parâmetros
- 70B
- Fonte
- Hugging Face
Descrição da fonte
About
static quants of https://huggingface.co/HiTZ/Latxa-Llama-3.1-70B-Instruct-v2
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-i1-GGUF
Usage
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.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 26.5 | |
| GGUF | Q3_K_S | 31.0 | |
| GGUF | Q3_K_M | 34.4 | lower quality |
| GGUF | Q3_K_L | 37.2 | |
| GGUF | IQ4_XS | 38.4 | |
| GGUF | Q4_K_S | 40.4 | fast, recommended |
| GGUF | Q4_K_M | 42.6 | fast, recommended |
| GGUF | Q5_K_S | 48.8 | |
| GGUF | Q5_K_M | 50.0 | |
| GGUF | Q6_K | 58.0 | very good quality |
| GGUF | Q8_0 | 75.1 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
Fontes
1 fonte
Fontes
1 fonteVerificado 22 de out.
Artefatos de modelo
11 artefatos
Artefatos de modelo
11 artefatosLatxa-Llama-3.1-70B-Instruct-v2.IQ4_XS.gguf
gguf · 35,6 GB · SHA-256 6700287e1cd9…6791 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q2_K.gguf
gguf · 24,6 GB · SHA-256 9a32f23ecf2e…91d4 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q3_K_L.gguf
gguf · 34,6 GB · SHA-256 7df6a1b47d6a…bdb6 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q3_K_M.gguf
gguf · 31,9 GB · SHA-256 866212ab7c28…b475 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q3_K_S.gguf
gguf · 28,8 GB · SHA-256 4a7cd1aadf03…848d · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q4_K_M.gguf
gguf · 39,6 GB · SHA-256 042f2c0f5b4f…9596 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q4_K_S.gguf
gguf · 37,6 GB · SHA-256 72f28a92ce2e…484b · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q5_K_M.gguf
gguf · 46,5 GB · SHA-256 1a4b77f27bda…41cf · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q5_K_S.gguf
gguf · 45,3 GB · SHA-256 74beb76c62ed…d9f8 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q6_K.gguf
gguf · 53,9 GB · SHA-256 197719645eba…2940 · Hugging Face
BaixarLatxa-Llama-3.1-70B-Instruct-v2.Q8_0.gguf
gguf · 69,8 GB · SHA-256 1e766f7a0e79…3dbe · Hugging Face
BaixarTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- base_model: HiTZ/Latxa-Llama-3.1-70B-Instruct-v2 datasets: - HiTZ/latxa-corpus-v2 language: - eu - en library_name: transformers license: other license_link: https://huggingface.co/HiTZ/Latxa-Llama-3.1-8B-Instruct/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/HiTZ/Latxa-Llama-3.1-70B-Instruct-v2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Latxa-Llama-3.1-70B-Instruct-v2-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q2_K.gguf) | Q2_K | 26.5 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_S.gguf) | Q3_K_S | 31.0 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_L.gguf) | Q3_K_L | 37.2 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.IQ4_XS.gguf) | IQ4_XS | 38.4 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended | | [GGUF](https://h...
--- base_model: HiTZ/Latxa-Llama-3.1-70B-Instruct-v2 datasets: - HiTZ/latxa-corpus-v1.1 language: - eu - en library_name: transformers license: other license_link: https://huggingface.co/HiTZ/Latxa-Llama-3.1-8B-Instruct/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/HiTZ/Latxa-Llama-3.1-70B-Instruct-v2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Latxa-Llama-3.1-70B-Instruct-v2-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q2_K.gguf) | Q2_K | 26.5 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_S.gguf) | Q3_K_S | 31.0 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q3_K_L.gguf) | Q3_K_L | 37.2 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.IQ4_XS.gguf) | IQ4_XS | 38.4 | | | [GGUF](https://huggingface.co/mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF/resolve/main/Latxa-Llama-3.1-70B-Instruct-v2.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended | | [GGUF](https:/...
Source context: 209 downloads · 0 likes · Library transformers · Repo mradermacher/Latxa-Llama-3.1-70B-Instruct-v2-GGUF
