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For a convenient overview and download list, visit our model page for this model.
Fuente del modelo
Descripción de la fuente
weighted/imatrix quants of https://huggingface.co/alan-turing-institute/t0-1.1-k5-32B
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Fuentes
1 fuenteVerificado 7 ago
Artefactos del modelo
24 artefactosExtractos de fuentes
3 extractosIf 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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | imatrix | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 7.4 | for the desperate |
| GGUF | i1-IQ1_M | 8.0 | mostly desperate |
| GGUF | i1-IQ2_XXS | 9.1 | |
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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
t0-1.1-k5-32B.i1-IQ2_M.gguf
gguf · 10,5 GB · SHA-256 99bb2e809fc4…423b · Hugging Face
--- base_model: alan-turing-institute/t0-1.1-k5-32B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - qwen2 - conversational - text-generation-inference - rag --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/alan-turing-institute/t0-1.1-k5-32B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#t0-1.1-k5-32B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/t0-1.1-k5-32B-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/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ1_M.gguf) | i1-IQ1_M | 8.0 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 | | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 | | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 | | | [GGUF](https://huggingface.co/mradermacher/t0-1.1-k5-32B-i1-GGUF/resolve/main/t0-1.1-k5-32B.i1-IQ2_M.gguf) | i1-IQ2_M | 11.4 | | | [GGUF](h...
Source context: 15 downloads · 0 likes · Library transformers · Repo mradermacher/t0-1.1-k5-32B-i1-GGUF
Source context: 78 downloads · 0 likes · Library transformers · Repo mradermacher/t0-1.1-k5-32B-i1-GGUF
| i1-IQ2_XS |
| 10.1 |
| GGUF | i1-IQ2_S | 10.5 |
| GGUF | i1-IQ2_M | 11.4 |
| GGUF | i1-Q2_K_S | 11.6 | very low quality |
| GGUF | i1-Q2_K | 12.4 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 12.9 | lower quality |
| GGUF | i1-IQ3_XS | 13.8 |
| GGUF | i1-Q3_K_S | 14.5 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 14.5 | beats Q3_K* |
| GGUF | i1-IQ3_M | 14.9 |
| GGUF | i1-Q3_K_M | 16.0 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 17.3 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 17.8 |
| GGUF | i1-Q4_0 | 18.8 | fast, low quality |
| GGUF | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 20.0 | fast, recommended |
| GGUF | i1-Q4_1 | 20.7 |
| GGUF | i1-Q5_K_S | 22.7 |
| GGUF | i1-Q5_K_M | 23.4 |
| GGUF | i1-Q6_K | 27.0 | practically like static Q6_K |
