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team mradermacher
32e334d0df auto-patch README.md 2025-12-08 14:43:39 +00:00
team mradermacher
09b66daac4 auto-patch README.md 2025-10-30 07:51:20 +00:00
team mradermacher
4e49f1a506 auto-patch README.md 2025-10-29 01:05:53 +00:00
team mradermacher
873b037b7e auto-patch README.md 2025-10-28 15:07:55 +00:00
team mradermacher
c60acb4c00 auto-patch README.md 2025-10-28 11:54:52 +00:00
team mradermacher
d6964fa76f auto-patch README.md 2025-10-28 09:16:11 +00:00
team mradermacher
1f496021b2 uploaded from nico1 2025-10-28 09:08:22 +00:00
team mradermacher
ff54bf3977 uploaded from nico1 2025-10-28 09:06:36 +00:00
team mradermacher
f14516fe70 uploaded from nico1 2025-10-28 09:04:05 +00:00
team mradermacher
9253dcb891 uploaded from nico1 2025-10-28 09:01:26 +00:00
6 changed files with 32 additions and 6 deletions

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.gitattributes vendored
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@@ -53,3 +53,7 @@ Lodos-24B-Instruct-2510.i1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
Lodos-24B-Instruct-2510.i1-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text

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@@ -1,19 +1,18 @@
---
base_model: hasanbasbunar/Lodos-24B-Instruct-2510
language:
- en
- tr
library_name: transformers
license: apache-2.0
model_name: Lodos-24B-Instruct-2510
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- generated_from_trainer
- unsloth
- mistral3
- trl
- sft
- trl
---
## About
@@ -46,18 +45,29 @@ more details, including on how to concatenate multi-part files.
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ1_S.gguf) | i1-IQ1_S | 5.4 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ1_M.gguf) | i1-IQ1_M | 5.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.6 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.3 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ2_S.gguf) | i1-IQ2_S | 7.6 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ2_M.gguf) | i1-IQ2_M | 8.2 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q2_K_S.gguf) | i1-Q2_K_S | 8.4 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q2_K.gguf) | i1-Q2_K | 9.0 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 9.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ3_XS.gguf) | i1-IQ3_XS | 10.0 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q3_K_S.gguf) | i1-Q3_K_S | 10.5 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ3_S.gguf) | i1-IQ3_S | 10.5 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ3_M.gguf) | i1-IQ3_M | 10.8 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q3_K_M.gguf) | i1-Q3_K_M | 11.6 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q3_K_L.gguf) | i1-Q3_K_L | 12.5 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.9 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q4_0.gguf) | i1-Q4_0 | 13.6 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q4_K_S.gguf) | i1-Q4_K_S | 13.6 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q4_K_M.gguf) | i1-Q4_K_M | 14.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q4_1.gguf) | i1-Q4_1 | 15.0 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q5_K_S.gguf) | i1-Q5_K_S | 16.4 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q5_K_M.gguf) | i1-Q5_K_M | 16.9 | |
| [GGUF](https://huggingface.co/mradermacher/Lodos-24B-Instruct-2510-i1-GGUF/resolve/main/Lodos-24B-Instruct-2510.i1-Q6_K.gguf) | i1-Q6_K | 19.4 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant