gguf endpoints_compatible region:us
---
{}
---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


UNAversal-2x7B-v1 - GGUF
- Model creator: https://huggingface.co/fblgit/
- Original model: https://huggingface.co/fblgit/UNAversal-2x7B-v1/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [UNAversal-2x7B-v1.Q2_K.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q2_K.gguf) | Q2_K | 4.43GB |
| [UNAversal-2x7B-v1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.IQ3_XS.gguf) | IQ3_XS | 4.95GB |
| [UNAversal-2x7B-v1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.IQ3_S.gguf) | IQ3_S | 5.22GB |
| [UNAversal-2x7B-v1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q3_K_S.gguf) | Q3_K_S | 5.2GB |
| [UNAversal-2x7B-v1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.IQ3_M.gguf) | IQ3_M | 5.35GB |
| [UNAversal-2x7B-v1.Q3_K.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q3_K.gguf) | Q3_K | 5.78GB |
| [UNAversal-2x7B-v1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q3_K_M.gguf) | Q3_K_M | 5.78GB |
| [UNAversal-2x7B-v1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q3_K_L.gguf) | Q3_K_L | 6.27GB |
| [UNAversal-2x7B-v1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.IQ4_XS.gguf) | IQ4_XS | 6.5GB |
| [UNAversal-2x7B-v1.Q4_0.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q4_0.gguf) | Q4_0 | 6.78GB |
| [UNAversal-2x7B-v1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.IQ4_NL.gguf) | IQ4_NL | 6.85GB |
| [UNAversal-2x7B-v1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q4_K_S.gguf) | Q4_K_S | 6.84GB |
| [UNAversal-2x7B-v1.Q4_K.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q4_K.gguf) | Q4_K | 7.25GB |
| [UNAversal-2x7B-v1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q4_K_M.gguf) | Q4_K_M | 7.25GB |
| [UNAversal-2x7B-v1.Q4_1.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q4_1.gguf) | Q4_1 | 7.52GB |
| [UNAversal-2x7B-v1.Q5_0.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q5_0.gguf) | Q5_0 | 8.26GB |
| [UNAversal-2x7B-v1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q5_K_S.gguf) | Q5_K_S | 8.26GB |
| [UNAversal-2x7B-v1.Q5_K.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q5_K.gguf) | Q5_K | 8.51GB |
| [UNAversal-2x7B-v1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q5_K_M.gguf) | Q5_K_M | 8.51GB |
| [UNAversal-2x7B-v1.Q5_1.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q5_1.gguf) | Q5_1 | 9.01GB |
| [UNAversal-2x7B-v1.Q6_K.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q6_K.gguf) | Q6_K | 9.84GB |
| [UNAversal-2x7B-v1.Q8_0.gguf](https://huggingface.co/RichardErkhov/fblgit_-_UNAversal-2x7B-v1-gguf/blob/main/UNAversal-2x7B-v1.Q8_0.gguf) | Q8_0 | 12.75GB |




Original model description:
---
license: apache-2.0
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: UNAversal-2x7B-v1
  results: []
---
# UNAversal-2x7B-v1

Merely Phase 1 UNA, only MLP's and its kinda of a beta. The goal was to produce a small but powerful MoE. 

This is a 2 MoE model, of 7B each expert. Based on intel-neural series v3.

|    Tasks     |Version|Filter|n-shot|  Metric  |Value |   |Stderr|
|--------------|-------|------|-----:|----------|-----:|---|-----:|
|arc_challenge |Yaml   |none  |    25|acc       |0.7133|±  |0.0132|
|              |       |none  |    25|acc_norm  |0.7235|±  |0.0131|
|arc_easy      |Yaml   |none  |     0|acc       |0.8674|±  |0.0070|
|              |       |none  |     0|acc_norm  |0.8291|±  |0.0077|
|boolq         |Yaml   |none  |     0|acc       |0.8768|±  |0.0057|
|lambada_openai|Yaml   |none  |     0|perplexity|3.6656|±  |0.0841|
|              |       |none  |     0|acc       |0.7017|±  |0.0064|
|mathqa        |Yaml   |none  |     0|acc       |0.3474|±  |0.0087|
|              |       |none  |     0|acc_norm  |0.3585|±  |0.0088|
|piqa          |Yaml   |none  |     0|acc       |0.8411|±  |0.0085|
|              |       |none  |     0|acc_norm  |0.8526|±  |0.0083|
|sciq          |Yaml   |none  |     0|acc       |0.9600|±  |0.0062|
|              |       |none  |     0|acc_norm  |0.9370|±  |0.0077|

