mradermacher/MELT-llama-2-3x70b-chat-hf-i1-GGUF overview

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base_model: Kentucky-Open-Science/MELT-llama-2-3x70b-chat-hf

language:

• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

---

About

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weighted/imatrix quants of https://huggingface.co/Kentucky-Open-Science/MELT-llama-2-3x70b-chat-hf

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

static quants are available at https://huggingface.co/mradermacher/MELT-llama-2-3x70b-chat-hf-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 | i1-IQ1_S | 37.3 | for the desperate |

| GGUF | i1-IQ1_M | 41.2 | mostly desperate |

| GGUF | i1-IQ2_XXS | 47.8 | |

| PART 1 PART 2 | i1-IQ2_XS | 53.2 | |

| PART 1 PART 2 | i1-IQ2_S | 54.7 | |

| PART 1 PART 2 | i1-IQ2_M | 60.0 | |

| PART 1 PART 2 | i1-Q2_K | 66.4 | IQ3_XXS probably better |

| PART 1 PART 2 | i1-IQ3_XXS | 69.8 | lower quality |

| PART 1 PART 2 | i1-IQ3_XS | 74.2 | |

| PART 1 PART 2 | i1-IQ3_S | 78.5 | beats Q3_K* |

| PART 1 PART 2 | i1-Q3_K_S | 78.5 | IQ3_XS probably better |

| PART 1 PART 2 | i1-IQ3_M | 80.1 | |

| PART 1 PART 2 | i1-Q3_K_M | 87.1 | IQ3_S probably better |

| PART 1 PART 2 | i1-Q3_K_L | 94.4 | IQ3_M probably better |

| PART 1 PART 2 | i1-IQ4_XS | 96.8 | |

| PART 1 PART 2 PART 3 | i1-Q4_0 | 102.8 | fast, low quality |

| PART 1 PART 2 PART 3 | i1-Q4_K_S | 103.4 | optimal size/speed/quality |

| PART 1 PART 2 PART 3 | i1-Q4_K_M | 109.8 | fast, recommended |

| PART 1 PART 2 PART 3 | i1-Q5_K_S | 125.1 | |

| PART 1 PART 2 PART 3 | i1-Q5_K_M | 128.9 | |

| PART 1 PART 2 PART 3 PART 4 | i1-Q6_K | 149.2 | practically like static Q6_K |

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.

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