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KitchenSink_103b-i1-GGUF
mradermacher/KitchenSink_103b-i1-GGUF
KitchenSink_103b-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/MarsupialAI/KitchenSink103b
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At a glance
- Library
- transformers
- License
- llama2
- Access
- Public
- Created
- Apr 1, 2024
- Updated
- May 6, 2024
- SHA
- 53ab6aa1
Base models
Model card
From the Hugging Face model README
About
weighted/imatrix quants of https://huggingface.co/MarsupialAI/KitchenSink_103b
<!-- provided-files -->static quants are available at https://huggingface.co/mradermacher/KitchenSink_103b-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 | i1-IQ1_S | 22.1 | for the desperate |
| GGUF | i1-IQ1_M | 24.2 | mostly desperate |
| GGUF | i1-IQ2_XXS | 27.7 | |
| GGUF | i1-IQ2_XS | 30.8 | |
| GGUF | i1-IQ2_S | 32.3 | |
| GGUF | i1-IQ2_M | 35.1 | |
| GGUF | i1-Q2_K | 38.3 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 40.0 | lower quality |
| GGUF | i1-IQ3_XS | 42.6 | |
| GGUF | i1-Q3_K_S | 44.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 45.0 | beats Q3_K* |
| GGUF | i1-IQ3_M | 46.5 | |
| PART 1 PART 2 | i1-Q3_K_M | 50.0 | IQ3_S probably better |
| PART 1 PART 2 | i1-Q3_K_L | 54.5 | IQ3_M probably better |
| PART 1 PART 2 | i1-IQ4_XS | 55.5 | |
| PART 1 PART 2 | i1-Q4_0 | 58.8 | fast, low quality |
| PART 1 PART 2 | i1-Q4_K_S | 59.0 | optimal size/speed/quality |
| PART 1 PART 2 | i1-Q4_K_M | 62.3 | fast, recommended |
| PART 1 PART 2 | i1-Q5_K_S | 71.4 | |
| PART 1 PART 2 | i1-Q5_K_M | 73.3 | |
| PART 1 PART 2 | i1-Q6_K | 85.1 | 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
- Apr 1, 2024
- Updated
- May 6, 2024