File size: 5,905 Bytes

---
base_model: NewEden-Forge/DPE-70b-Ckpts
datasets:
- merged.json
- PocketDoc/Dans-Prosemaxx-RP
- PocketDoc/Dans-Personamaxx-Logs-2
- PocketDoc/Dans-Personamaxx-VN
- PocketDoc/Dans-Kinomaxx-VanillaBackrooms
- PocketDoc/Dans-Prosemaxx-Gutenberg
- PocketDoc/Dans-Prosemaxx-Cowriter-3-XL
- PocketDoc/Dans-Prosemaxx-Adventure
- PocketDoc/Dans-Failuremaxx-Adventure-3
- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2
- PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3
- PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2
- PocketDoc/Dans-Prosemaxx-Instructwriter-Long
- PocketDoc/Dans-Prosemaxx-RepRemover-1
- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
- AquaV/US-Army-Survival-Sharegpt
- AquaV/Multi-Environment-Operations-Sharegpt
- AquaV/Resistance-Sharegpt
- AquaV/Interrogation-Sharegpt
- AquaV/Chemical-Biological-Safety-Applications-Sharegpt
- AquaV/Energetic-Materials-Sharegpt
- PocketDoc/Dans-Mathmaxx
- PJMixers/Math-Multiturn-1K-ShareGPT
- PocketDoc/Dans-Taskmaxx
- PocketDoc/Dans-Taskmaxx-DataPrepper
- PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked
- PocketDoc/Dans-Taskmaxx-TableGPT
- PocketDoc/Dans-Taskmaxx-SciRIFF
- PocketDoc/Dans-Taskmaxx-Edit
- PocketDoc/Dans-Toolmaxx-Agent
- PocketDoc/Dans-Toolmaxx-ShellCommands
- PocketDoc/Dans-Toolmaxx-Functions-Toolbench
- PocketDoc/Dans-Toolmaxx-Functions-ToolACE
- PocketDoc/Dans-Toolmaxx-Functions-apigen-subset
- PocketDoc/Dans-Assistantmaxx-OpenAssistant2
- PocketDoc/Dans-Assistantmaxx-Opus-Merge-2
- PocketDoc/Dans-Assistantmaxx-sonnetorca-subset
- PocketDoc/Dans-Assistantmaxx-sonnetorca-subset-2
- PocketDoc/Dans-Assistantmaxx-Synthia
- PocketDoc/Dans-Assistantmaxx-ASL
- PocketDoc/Dans-Assistantmaxx-PersonaLLM-Opus
- PocketDoc/Dans-Assistantmaxx-LongAlign
- PocketDoc/Dans-Assistantmaxx-OpenLeecher-Instruct
- PocketDoc/Dans-Assistantmaxx-Tulu3-IF
- PocketDoc/Dans-Systemmaxx
- PocketDoc/Dans-Logicmaxx-SAT-AP
- PJMixers/grimulkan_theory-of-mind-ShareGPT
- PJMixers/grimulkan_physical-reasoning-ShareGPT
- PocketDoc/Dans-Reasoningmaxx-NaturalReasoning
- PocketDoc/Dans-Reasoningmaxx-WebInstruct
- PocketDoc/Dans-Reasoningmaxx-GeneralReasoning
- Delta-Vector/Orion-LN-V1-ShareGPT
- Delta-Vector/Orion-Alpindale-LN-ShareGPT
- Delta-Vector/Orion-Shoujo-AI-Filtered-ShareGPT
- Delta-Vector/Orion-RP-Guild
- Delta-Vector/Orion-OpenCAI-ShareGPT
- Delta-Vector/Orion-LIMARP-Complexity
language:
- en
library_name: transformers
license: llama3.1
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- generated_from_trainer
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags:  -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip:  -->
<!-- ### skip_mmproj:  -->
static quants of https://huggingface.co/NewEden-Forge/DPE-70b-Ckpts

<!-- provided-files -->

***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#DPE-70b-Ckpts-GGUF).***

weighted/imatrix quants are available at https://huggingface.co/mradermacher/DPE-70b-Ckpts-i1-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/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q2_K.gguf) | Q2_K | 26.5 |  |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q3_K_S.gguf) | Q3_K_S | 31.0 |  |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q3_K_L.gguf) | Q3_K_L | 37.2 |  |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.IQ4_XS.gguf) | IQ4_XS | 38.4 |  |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q5_K_S.gguf) | Q5_K_S | 48.8 |  |
| [GGUF](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q5_K_M.gguf) | Q5_K_M | 50.0 |  |
| [PART 1](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/DPE-70b-Ckpts-GGUF/resolve/main/DPE-70b-Ckpts.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

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.

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