mradermacher/Breezeblossom-v4-mistral-2x7B-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/sam ezai/Breezeblosso…
Runs locally from ~4.57 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Breezeblossom-v4-mistral-2x7B.IQ4_XS.gguf | GGUF | GGUF | 6.65 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q2_K.gguf | GGUF | GGUF | 4.57 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q3_K_L.gguf | GGUF | GGUF | 6.41 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q3_K_M.gguf | GGUF | GGUF | 5.92 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q3_K_S.gguf | GGUF | GGUF | 5.35 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q4_K_M.gguf | GGUF | GGUF | 7.41 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q4_K_S.gguf | GGUF | GGUF | 7.00 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q5_K_M.gguf | GGUF | GGUF | 8.68 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q5_K_S.gguf | GGUF | GGUF | 8.44 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q6_K.gguf | GGUF | GGUF | 10.03 GB | Download |
| Breezeblossom-v4-mistral-2x7B.Q8_0.gguf | GGUF | GGUF | 12.99 GB | Download |
Model Details
| Model ID | mradermacher/Breezeblossom-v4-mistral-2x7B-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | — |
| License | apache-2.0 |
| Base model | sam-ezai/Breezeblossom-v4-mistral-2x7B |
| Last modified | 2026-10-09T20:22:28.000Z |
Model README
---
base_model: sam-ezai/Breezeblossom-v4-mistral-2x7B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- MediaTek-Research/Breeze-7B-Instruct-v0_1
- Azure99/blossom-v4-mistral-7b
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/sam-ezai/Breezeblossom-v4-mistral-2x7B
<!-- 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/Breezeblossom-v4-mistral-2x7B-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 | 5.0 | |
| GGUF | Q3_K_S | 5.8 | |
| GGUF | Q3_K_M | 6.5 | lower quality |
| GGUF | Q3_K_L | 7.0 | |
| GGUF | IQ4_XS | 7.2 | |
| GGUF | Q4_K_S | 7.6 | fast, recommended |
| GGUF | Q4_K_M | 8.1 | fast, recommended |
| GGUF | Q5_K_S | 9.2 | |
| GGUF | Q5_K_M | 9.4 | |
| GGUF | Q6_K | 10.9 | very good quality |
| GGUF | Q8_0 | 14.0 | fast, best quality |
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, 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.
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