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For a convenient overview and download list, visit our model page for this model.
Source du modèle
Description de la source
weighted/imatrix quants of https://huggingface.co/difanjiao/ThinkTwice-Olmo3-7B-Instruct
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Sources
1 sourceVérifié 1 oct.
Artefacts du modèle
25 artefactsThinkTwice-Olmo3-7B-Instruct.i1-IQ1_M.gguf
gguf · 1,81 GB · SHA-256 dc7321e7fe69…01d0 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ1_S.gguf
gguf · 1,69 GB · SHA-256 730c7ce2c6eb…2213 · Hugging Face
TéléchargerExtraits de sources
3 extraitsIf 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 | 1.9 | for the desperate |
| GGUF | i1-IQ1_M | 2.0 | mostly desperate |
| GGUF | i1-IQ2_XXS | 2.2 |
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.
ThinkTwice-Olmo3-7B-Instruct.i1-IQ2_M.gguf
gguf · 2,49 GB · SHA-256 11b8d3e4d493…e7c6 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ2_S.gguf
gguf · 2,34 GB · SHA-256 d4fd4b88a1fc…c35b · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ2_XS.gguf
gguf · 2,16 GB · SHA-256 723d749fbfc4…6951 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ2_XXS.gguf
gguf · 2,00 GB · SHA-256 629217975eff…43b3 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ3_M.gguf
gguf · 3,23 GB · SHA-256 0c55bbf5008d…3c09 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ3_S.gguf
gguf · 3,08 GB · SHA-256 ea45d00a30f1…8755 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ3_XS.gguf
gguf · 2,93 GB · SHA-256 2d7dc96cd1c5…5fd2 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ3_XXS.gguf
gguf · 2,70 GB · SHA-256 b456e772e3b7…3723 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ4_NL.gguf
gguf · 3,93 GB · SHA-256 5f17ab67ad96…6fdf · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-IQ4_XS.gguf
gguf · 3,73 GB · SHA-256 2833bf600297…deff · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q2_K_S.gguf
gguf · 2,46 GB · SHA-256 83d0b48bd9f2…e319 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q2_K.gguf
gguf · 2,66 GB · SHA-256 e45aa6cfd155…8af6 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q3_K_L.gguf
gguf · 3,68 GB · SHA-256 5cd74057f4d3…c5fa · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q3_K_M.gguf
gguf · 3,40 GB · SHA-256 2c078658156c…2870 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q3_K_S.gguf
gguf · 3,08 GB · SHA-256 9f3c84d214d2…b160 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q4_0.gguf
gguf · 3,94 GB · SHA-256 43979f352146…1d0d · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q4_1.gguf
gguf · 4,33 GB · SHA-256 d022d695e300…683b · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q4_K_M.gguf
gguf · 4,16 GB · SHA-256 c497677f2e61…8216 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q4_K_S.gguf
gguf · 3,96 GB · SHA-256 909606c72d81…e365 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q5_K_M.gguf
gguf · 4,85 GB · SHA-256 e3366a13724d…5cf2 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q5_K_S.gguf
gguf · 4,73 GB · SHA-256 de4796202fd5…26b3 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.i1-Q6_K.gguf
gguf · 5,58 GB · SHA-256 6475b69ea42d…ed07 · Hugging Face
TéléchargerThinkTwice-Olmo3-7B-Instruct.imatrix.gguf
gguf · 4,38 MB · SHA-256 f7671973f7a6…34f4 · Hugging Face
Télécharger--- arxiv: 2604.01591 base_model: difanjiao/ThinkTwice-Olmo3-7B-Instruct language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - reasoning - math - rlvr - self-refinement - grpo - olmo3 --- ## 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/difanjiao/ThinkTwice-Olmo3-7B-Instruct <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ThinkTwice-Olmo3-7B-Instruct-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Instruct-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/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF/resolve/main/ThinkTwice-Olmo3-7B-Instruct.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF/resolve/main/ThinkTwice-Olmo3-7B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 1.9 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF/resolve/main/ThinkTwice-Olmo3-7B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 2.0 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF/resolve/main/ThinkTwice-Olmo3-7B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.2 | | | [GGUF](https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF/resolve/main/ThinkTwice-Olmo3-7B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/ThinkTwice-Olmo3-7B-Inst...
Source context: 835 downloads · 0 likes · Library transformers · Repo mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF
Source context: 148 downloads · 0 likes · Library transformers · Repo mradermacher/ThinkTwice-Olmo3-7B-Instruct-i1-GGUF
| GGUF | i1-IQ2_XS | 2.4 |
| GGUF | i1-IQ2_S | 2.6 |
| GGUF | i1-Q2_K_S | 2.7 | very low quality |
| GGUF | i1-IQ2_M | 2.8 |
| GGUF | i1-Q2_K | 3.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 3.0 | lower quality |
| GGUF | i1-IQ3_XS | 3.2 |
| GGUF | i1-IQ3_S | 3.4 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 3.4 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 3.6 |
| GGUF | i1-Q3_K_M | 3.8 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 4.1 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 4.1 |
| GGUF | i1-IQ4_NL | 4.3 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 4.3 | fast, low quality |
| GGUF | i1-Q4_K_S | 4.3 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 4.6 | fast, recommended |
| GGUF | i1-Q4_1 | 4.7 |
| GGUF | i1-Q5_K_S | 5.2 |
| GGUF | i1-Q5_K_M | 5.3 |
| GGUF | i1-Q6_K | 6.1 | practically like static Q6_K |
