Downloads · 30 days
0
0% of all-time downloads
rombos-llm-v2.6-qwen-14b-exl2
Apel-sin/rombos-llm-v2.6-qwen-14b-exl2
rombos-llm-v2.6-qwen-14b-exl2 is a machine learning model from Apel-sin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
All-time downloads
1
Public
Repo size
14.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.7 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Oct 30, 2024
- Updated
- Oct 31, 2024
- SHA
- 1937aba4
Base models
Model card
From the Hugging Face model README
Rombos-LLM-V2.5-Qwen-14b
Rombos-LLM-V2.6-Qwen-14b is the upgraded version of "rombodawg/Rombos-LLM-V2.5-Qwen-14b". The magic I performed to make this model better than it already was is only known to the Deepest state, dankest memers and God himself, so dont ask 😉. But it does perform a decent bit better than version 2.5 from my hand testing. Benchmarks will come later.
Check out the Continuous Finetuning method that I apply to all my models bellow:
Quants:
-
https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q8_0-GGUF
-
https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b-Q5_K_M-GGUF
-
https://huggingface.co/bartowski/Rombos-LLM-V2.6-Qwen-14b-GGUF
Benchmarks:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 35.89 |
| IFEval (0-Shot) | 52.14 |
| BBH (3-Shot) | 49.22 |
| MATH Lvl 5 (4-Shot) | 28.85 |
| GPQA (0-shot) | 17.00 |
| MuSR (0-shot) | 19.26 |
| MMLU-PRO (5-shot) | 48.85 |
- Library
- transformers
- License
- apache-2.0
- Created
- Oct 30, 2024
- Updated
- Oct 31, 2024