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MegaDolphin-120b-i1-GGUF
mradermacher/MegaDolphin-120b-i1-GGUF
MegaDolphin-120b-i1-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as llama2.
weighted/imatrix quants of https://huggingface.co/QuixiAI/MegaDolphin-120b
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.gguf340 GB · 28%
At a glance
- Library
- transformers
- License
- llama2
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Jul 13, 2025
- SHA
- 37e693cd
Base models
Model card
From the Hugging Face model README
About
weighted/imatrix quants of https://huggingface.co/QuixiAI/MegaDolphin-120b
<!-- provided-files -->For a convenient overview and download list, visit our model page for this model.
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 | i1-IQ1_S | 25.7 | for the desperate |
| GGUF | i1-IQ1_M | 27.8 | mostly desperate |
| GGUF | i1-IQ2_XXS | 32.2 | |
| GGUF | i1-IQ2_XS | 35.8 | |
| GGUF | i1-IQ2_S | 37.2 | |
| GGUF | i1-IQ2_M | 40.5 | |
| GGUF | i1-Q2_K | 44.6 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 47.3 | lower quality |
| GGUF | i1-IQ3_XS | 49.3 | |
| PART 1 PART 2 | i1-Q3_K_XS | 49.3 | |
| PART 1 PART 2 | i1-IQ3_S | 52.1 | beats Q3_K* |
| PART 1 PART 2 | i1-Q3_K_S | 52.2 | IQ3_XS probably better |
| PART 1 PART 2 | i1-IQ3_M | 53.8 | |
| PART 1 PART 2 | i1-Q3_K_M | 58.2 | IQ3_S probably better |
| PART 1 PART 2 | i1-Q3_K_L | 63.4 | IQ3_M probably better |
| PART 1 PART 2 | i1-IQ4_XS | 64.3 | |
| PART 1 PART 2 | i1-Q4_0 | 68.1 | fast, low quality |
| PART 1 PART 2 | i1-Q4_K_S | 68.7 | optimal size/speed/quality |
| PART 1 PART 2 | i1-Q4_K_M | 72.6 | fast, recommended |
| PART 1 PART 2 | i1-Q5_K_S | 82.9 | |
| PART 1 PART 2 | i1-Q5_K_M | 85.1 | |
| PART 1 PART 2 | i1-Q6_K | 98.8 | practically like static Q6_K |
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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
<!-- end -->- Library
- transformers
- License
- llama2
- Languages
- en
- Created
- Feb 21, 2024
- Updated
- Jul 13, 2025