File size: 6,824 Bytes
be528ab 46b0a01 be528ab 46b0a01 42dc0a4 66b3dfb 3753e85 a84ee30 be528ab 3753e85 b3e89b2 42dc0a4 a09c812 b3e89b2 66b3dfb a09c812 34d63c1 66b3dfb be528ab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
datasets:
- tiiuae/falcon-refinedweb
- pankajmathur/WizardLM_Orca
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
weighted/imatrix quants of https://huggingface.co/quantumaikr/falcon-180B-WizardLM_Orca
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-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/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ1_S.gguf) | i1-IQ1_S | 37.4 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 46.8 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_XS.gguf.part2of2) | i1-IQ2_XS | 52.1 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_S.gguf.part2of2) | i1-IQ2_S | 55.6 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ2_M.gguf.part2of2) | i1-IQ2_M | 60.3 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 65.9 | IQ3_XXS probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 68.5 | fast, lower quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_XS.gguf.part2of2) | i1-IQ3_XS | 74.4 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_S.gguf.part2of2) | i1-IQ3_S | 76.8 | fast, beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_S.gguf.part2of2) | i1-Q3_K_S | 76.8 | IQ3_XS probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 80.5 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 84.6 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 91.1 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_S.gguf.part3of3) | i1-Q4_K_S | 100.6 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q4_K_M.gguf.part3of3) | i1-Q4_K_M | 107.9 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_S.gguf.part3of3) | i1-Q5_K_S | 122.9 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-i1-GGUF/resolve/main/falcon-180B-WizardLM_Orca.i1-Q5_K_M.gguf.part3of3) | i1-Q5_K_M | 130.1 | |
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
<!-- end -->
|