mradermacher/Megatron-Opus-14B-2.0-GGUF overview

---

base_model: prithivMLmods/Megatron-Opus-14B-2.0

language:

• en

library_name: transformers

license: llama3.1

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• text-generation-inference
• llama3.1
• phi4
• LlamaForCausalLM
• Corpus
• trl

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

static quants of https://huggingface.co/prithivMLmods/Megatron-Opus-14B-2.0

<!-- provided-files -->

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Megatron-Opus-14B-2.0-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 | Q2_K | 5.7 | |

| GGUF | Q3_K_S | 6.6 | |

| GGUF | Q3_K_M | 7.3 | lower quality |

| GGUF | Q3_K_L | 7.9 | |

| GGUF | IQ4_XS | 8.2 | |

| GGUF | Q4_K_S | 8.5 | fast, recommended |

| GGUF | Q4_K_M | 9.0 | fast, recommended |

| GGUF | Q5_K_S | 10.3 | |

| GGUF | Q5_K_M | 10.5 | |

| GGUF | Q6_K | 12.1 | very good quality |

| GGUF | Q8_0 | 15.7 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.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, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time. Additional thanks to @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 -->