Transformers
GGUF
English
mergekit
Merge
abacusai/Dracarys-Llama-3.1-70B-Instruct
Sao10K/L3-70B-Euryale-v2.1
gbueno86/Cathallama-70B
sophosympatheia/New-Dawn-Llama-3.1-70B-v1.1
nothingiisreal/L3.1-70B-Celeste-V0.1-BF16
Fizzarolli/L3.1-70b-glitz-v0.2
cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
Inference Endpoints
imatrix
conversational
| base_model: KaraKaraWitch/L3.1-70b-Inori | |
| language: | |
| - en | |
| library_name: transformers | |
| quantized_by: mradermacher | |
| tags: | |
| - mergekit | |
| - merge | |
| - abacusai/Dracarys-Llama-3.1-70B-Instruct | |
| - Sao10K/L3-70B-Euryale-v2.1 | |
| - gbueno86/Cathallama-70B | |
| - sophosympatheia/New-Dawn-Llama-3.1-70B-v1.1 | |
| - nothingiisreal/L3.1-70B-Celeste-V0.1-BF16 | |
| - Fizzarolli/L3.1-70b-glitz-v0.2 | |
| - cyberagent/Llama-3.1-70B-Japanese-Instruct-2407 | |
| ## About | |
| <!-- ### quantize_version: 2 --> | |
| <!-- ### output_tensor_quantised: 1 --> | |
| <!-- ### convert_type: hf --> | |
| <!-- ### vocab_type: --> | |
| <!-- ### tags: nicoboss --> | |
| weighted/imatrix quants of https://huggingface.co/KaraKaraWitch/L3.1-70b-Inori | |
| <!-- provided-files --> | |
| static quants are available at https://huggingface.co/mradermacher/L3.1-70b-Inori-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/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ1_S.gguf) | i1-IQ1_S | 15.4 | for the desperate | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ1_M.gguf) | i1-IQ1_M | 16.9 | mostly desperate | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 19.2 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ2_XS.gguf) | i1-IQ2_XS | 21.2 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ2_S.gguf) | i1-IQ2_S | 22.3 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ3_XS.gguf) | i1-IQ3_XS | 29.4 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ3_S.gguf) | i1-IQ3_S | 31.0 | beats Q3_K* | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q4_0.gguf) | i1-Q4_0 | 40.2 | fast, low quality | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q5_K_S.gguf) | i1-Q5_K_S | 48.8 | | | |
| | [GGUF](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q5_K_M.gguf) | i1-Q5_K_M | 50.0 | | | |
| | [PART 1](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.1-70b-Inori-i1-GGUF/resolve/main/L3.1-70b-Inori.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | 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](https://www.nethype.de/), for letting | |
| me use its servers and providing upgrades to my workstation to enable | |
| this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/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. | |
| <!-- end --> | |