mradermacher/Neuron-46x4B-Instruct-i1-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss < quants: Q2 K IQ3 M Q4 K S IQ3 XXS Q3 K M small IQ4…
Runs locally from ~95.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Neuron-46x4B-Instruct.i1-IQ1_M.gguf | GGUF | IQ1_M | 26.18 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ1_S.gguf | GGUF | IQ1_S | 23.57 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ2_M.gguf | GGUF | IQ2_M | 37.99 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ2_S.gguf | GGUF | IQ2_S | 34.51 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 34.02 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 30.53 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ3_M.gguf | GGUF | IQ3_M | 50.83 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ3_S.gguf | GGUF | IQ3_S | 50.22 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 47.50 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 44.72 GB | Download |
| Neuron-46x4B-Instruct.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 62.01 GB | Download |
| Neuron-46x4B-Instruct.i1-Q2_K.gguf | GGUF | Q2_K | 42.37 GB | Download |
| Neuron-46x4B-Instruct.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 39.44 GB | Download |
| Neuron-46x4B-Instruct.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 60.22 GB | Download |
| Neuron-46x4B-Instruct.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 55.63 GB | Download |
| Neuron-46x4B-Instruct.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 50.21 GB | Download |
| Neuron-46x4B-Instruct.i1-Q4_0.gguf | GGUF | Q4_0 | 65.89 GB | Download |
| Neuron-46x4B-Instruct.i1-Q4_1.gguf | GGUF | Q4_1 | 72.88 GB | Download |
| Neuron-46x4B-Instruct.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 70.59 GB | Download |
| Neuron-46x4B-Instruct.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 66.16 GB | Download |
| Neuron-46x4B-Instruct.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 82.70 GB | Download |
| Neuron-46x4B-Instruct.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 80.14 GB | Download |
| Neuron-46x4B-Instruct.imatrix.gguf | GGUF | GGUF | 95.8 MB | Download |
Model Details
| Model ID | mradermacher/Neuron-46x4B-Instruct-i1-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Neura-Tech-AI/Neuron-46x4B |
| Last modified | 2026-08-16T21:55:09.000Z |
Model README
---
base_model: Neura-Tech-AI/Neuron-46x4B
language:
- en
- zh
- hi
- ar
- ja
- ko
- fr
- de
- es
- pt
- it
- ru
- tr
- vi
- th
- id
- ms
- bn
- ur
- ta
- te
- mr
- gu
- pa
- fa
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- Neuron-46x4B-Instruct
- Neura Tech AI
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/Neura-Tech-AI/Neuron-46x4B
<!-- provided-files -->
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Neuron-46x4B-Instruct-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 | imatrix | 0.2 | imatrix file (for creating your own quants) |
| GGUF | i1-IQ1_S | 25.4 | for the desperate |
| GGUF | i1-IQ1_M | 28.2 | mostly desperate |
| GGUF | i1-IQ2_XXS | 32.9 | |
| GGUF | i1-IQ2_XS | 36.6 | |
| GGUF | i1-IQ2_S | 37.2 | |
| GGUF | i1-IQ2_M | 40.9 | |
| GGUF | i1-Q2_K_S | 42.4 | very low quality |
| GGUF | i1-Q2_K | 45.6 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 48.1 | lower quality |
| GGUF | i1-IQ3_XS | 51.1 | |
| GGUF | i1-Q3_K_S | 54.0 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 54.0 | beats Q3_K* |
| GGUF | i1-IQ3_M | 54.7 | |
| GGUF | i1-Q3_K_M | 59.8 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 64.8 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 66.7 | |
| GGUF | i1-Q4_0 | 70.9 | fast, low quality |
| GGUF | i1-Q4_K_S | 71.1 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 75.9 | fast, recommended |
| GGUF | i1-Q4_1 | 78.4 | |
| GGUF | i1-Q5_K_S | 86.2 | |
| GGUF | i1-Q5_K_M | 88.9 | |
| PART 1 PART 2 PART 3 | i1-Q6_K | 102.7 | practically like static Q6_K |
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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