Ml Ai Engineer 7b I1 GGUF
For a convenient overview and download list, visit our model page for this model.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 4,35 MB–5,82 GB
- Modelo base
- DuoNeural/ml-ai-engineer-7b
- Versión
- vRevision 4a4565f
- Actualizado
- 3 oct 2026
- Publicador
- @mradermacher
- Descargas
- 502
- Parámetros
- 7B
- Fuente
- Hugging Face
Descripción de la fuente
About
weighted/imatrix quants of https://huggingface.co/DuoNeural/ml-ai-engineer-7b
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/ml-ai-engineer-7b-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 2.0 | for the desperate |
| GGUF | i1-IQ1_M | 2.1 | mostly desperate |
| GGUF | i1-IQ2_XXS | 2.4 | |
| GGUF | i1-IQ2_XS | 2.6 | |
| GGUF | i1-IQ2_S | 2.7 | |
| GGUF | i1-IQ2_M | 2.9 | |
| GGUF | i1-Q2_K_S | 2.9 | very low quality |
| GGUF | i1-Q2_K | 3.1 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 3.2 | lower quality |
| GGUF | i1-IQ3_XS | 3.4 | |
| GGUF | i1-Q3_K_S | 3.6 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 3.6 | beats Q3_K* |
| GGUF | i1-IQ3_M | 3.7 | |
| GGUF | i1-Q3_K_M | 3.9 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 4.2 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 4.3 | |
| GGUF | i1-IQ4_NL | 4.5 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 4.5 | fast, low quality |
| GGUF | i1-Q4_K_S | 4.6 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 4.8 | fast, recommended |
| GGUF | i1-Q4_1 | 5.0 | |
| GGUF | i1-Q5_K_S | 5.4 | |
| GGUF | i1-Q5_K_M | 5.5 | |
| GGUF | i1-Q6_K | 6.4 | practically like static Q6_K |
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. 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.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 3 oct
Artefactos del modelo
25 artefactos
Artefactos del modelo
25 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- base_model: DuoNeural/ml-ai-engineer-7b language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - ml-engineering - sft - lora - qwen2.5 - debugging - pytorch --- ## 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/DuoNeural/ml-ai-engineer-7b <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ml-ai-engineer-7b-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/ml-ai-engineer-7b-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/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.i1-IQ1_S.gguf) | i1-IQ1_S | 2.0 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.i1-IQ1_M.gguf) | i1-IQ1_M | 2.1 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7b.i1-IQ2_S.gguf) | i1-IQ2_S | 2.7 | | | [GGUF](https://huggingface.co/mradermacher/ml-ai-engineer-7b-i1-GGUF/resolve/main/ml-ai-engineer-7...
Source context: 502 downloads · 1 likes · Library transformers · Repo mradermacher/ml-ai-engineer-7b-i1-GGUF
Source context: 603 downloads · 0 likes · Library transformers · Repo mradermacher/ml-ai-engineer-7b-i1-GGUF
