Transformers
GGUF
English
esper
esper-3.1
esper-3
valiant
valiant-labs
mistral3
mistral
mistral-common
ministral-3-3b
ministral
reasoning
code
code-instruct
python
javascript
dev-ops
jenkins
terraform
ansible
docker
kubernetes
helm
grafana
prometheus
shell
bash
azure
aws
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problem-solving
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chat
instruct
| base_model: ValiantLabs/Ministral-3-3B-Reasoning-2512-Esper3.1 | |
| datasets: | |
| - sequelbox/Titanium3-DeepSeek-V3.1-Terminus | |
| - sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus | |
| - sequelbox/Tachibana3-Part2-DeepSeek-V3.2 | |
| - sequelbox/Mitakihara-DeepSeek-R1-0528 | |
| language: | |
| - en | |
| library_name: transformers | |
| license: apache-2.0 | |
| mradermacher: | |
| readme_rev: 1 | |
| quantized_by: mradermacher | |
| tags: | |
| - esper | |
| - esper-3.1 | |
| - esper-3 | |
| - valiant | |
| - valiant-labs | |
| - mistral3 | |
| - mistral | |
| - mistral-common | |
| - ministral-3-3b | |
| - ministral | |
| - reasoning | |
| - code | |
| - code-instruct | |
| - python | |
| - javascript | |
| - dev-ops | |
| - jenkins | |
| - terraform | |
| - ansible | |
| - docker | |
| - jenkins | |
| - kubernetes | |
| - helm | |
| - grafana | |
| - prometheus | |
| - shell | |
| - bash | |
| - azure | |
| - aws | |
| - gcp | |
| - cloud | |
| - scripting | |
| - powershell | |
| - problem-solving | |
| - architect | |
| - engineer | |
| - developer | |
| - creative | |
| - analytical | |
| - expert | |
| - rationality | |
| - conversational | |
| - chat | |
| - instruct | |
| ## 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: 1 --> | |
| static quants of https://huggingface.co/ValiantLabs/Ministral-3-3B-Reasoning-2512-Esper3.1 | |
| <!-- provided-files --> | |
| ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF).*** | |
| weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-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/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q2_K.gguf) | Q2_K | 1.6 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q3_K_S.gguf) | Q3_K_S | 1.7 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q3_K_L.gguf) | Q3_K_L | 2.0 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.IQ4_XS.gguf) | IQ4_XS | 2.1 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q4_K_S.gguf) | Q4_K_S | 2.2 | fast, recommended | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q5_K_S.gguf) | Q5_K_S | 2.5 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q5_K_M.gguf) | Q5_K_M | 2.6 | | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q6_K.gguf) | Q6_K | 2.9 | very good quality | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.Q8_0.gguf) | Q8_0 | 3.8 | fast, best quality | | |
| | [GGUF](https://huggingface.co/mradermacher/Ministral-3-3B-Reasoning-2512-Esper3.1-GGUF/resolve/main/Ministral-3-3B-Reasoning-2512-Esper3.1.f16.gguf) | f16 | 7.0 | 16 bpw, overkill | | |
| Here is a handy graph by ikawrakow comparing some lower-quality quant | |
| types (lower is better): | |
|  | |
| 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](https://www.nethype.de/), for letting | |
| me use its servers and providing upgrades to my workstation to enable | |
| this work in my free time. | |
| <!-- end --> | |