mradermacher/olmo-7b-0724-hf-foxnews-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/shariar076/olmo 7b 07…
Runs locally from ~2.44 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| olmo-7b-0724-hf-foxnews.IQ4_XS.gguf | GGUF | GGUF | 3.49 GB | Download |
| olmo-7b-0724-hf-foxnews.Q2_K.gguf | GGUF | GGUF | 2.44 GB | Download |
| olmo-7b-0724-hf-foxnews.Q3_K_L.gguf | GGUF | GGUF | 3.44 GB | Download |
| olmo-7b-0724-hf-foxnews.Q3_K_M.gguf | GGUF | GGUF | 3.16 GB | Download |
| olmo-7b-0724-hf-foxnews.Q3_K_S.gguf | GGUF | GGUF | 2.83 GB | Download |
| olmo-7b-0724-hf-foxnews.Q4_K_M.gguf | GGUF | GGUF | 3.90 GB | Download |
| olmo-7b-0724-hf-foxnews.Q4_K_S.gguf | GGUF | GGUF | 3.69 GB | Download |
| olmo-7b-0724-hf-foxnews.Q5_K_M.gguf | GGUF | GGUF | 4.56 GB | Download |
| olmo-7b-0724-hf-foxnews.Q5_K_S.gguf | GGUF | GGUF | 4.44 GB | Download |
| olmo-7b-0724-hf-foxnews.Q6_K.gguf | GGUF | GGUF | 5.26 GB | Download |
| olmo-7b-0724-hf-foxnews.Q8_0.gguf | GGUF | GGUF | 6.82 GB | Download |
| olmo-7b-0724-hf-foxnews.f16.gguf | GGUF | GGUF | 12.83 GB | Download |
Model Details
| Model ID | mradermacher/olmo-7b-0724-hf-foxnews-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | — |
| License | — |
| Base model | shariar076/olmo-7b-0724-hf-foxnews |
| Last modified | 2026-10-14T23:50:08.000Z |
Model README
---
base_model: shariar076/olmo-7b-0724-hf-foxnews
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/shariar076/olmo-7b-0724-hf-foxnews
<!-- provided-files -->
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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 | 2.7 | |
| GGUF | Q3_K_S | 3.1 | |
| GGUF | Q3_K_M | 3.5 | lower quality |
| GGUF | Q3_K_L | 3.8 | |
| GGUF | IQ4_XS | 3.8 | |
| GGUF | Q4_K_S | 4.1 | fast, recommended |
| GGUF | Q4_K_M | 4.3 | fast, recommended |
| GGUF | Q5_K_S | 4.9 | |
| GGUF | Q5_K_M | 5.0 | |
| GGUF | Q6_K | 5.8 | very good quality |
| GGUF | Q8_0 | 7.4 | fast, best quality |
| GGUF | f16 | 13.9 | 16 bpw, overkill |
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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