File size: 3,032 Bytes
ef70a0a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
---
library_name: transformers
license: llama3
base_model: meta-llama/Llama-3.3-70B-Instruct
tags:
- generated_from_trainer
model-index:
- name: L3.3-70B-Euryale-v2.3
results: []
---
# L3.3-70B-Euryale-v2.3
A direct replacement / successor to Euryale v2.2, not Hanami-x1, though it is slightly better than them in my opinion.
This is entirely trained on top of Llama 3.3 Instruct, not Lora-extracted which is all the rage.
Recommended Model Settings | *Look, I just use these, they work fine enough. I don't even know how DRY or other meme samplers work. Your system prompt matters more anyway.*
```
Prompt Format: Llama-3-Instruct
Temperature: 1.1
min_p: 0.1
```
Future-ish plans:
<br>\- Further refine the Datasets used for quality, more secondary chats, more creative-related domains.
<br>\- Work on my other incomplete projects. About half a dozen on the backburner for a while now.
Special thanks to my wallet for funding this, my juniors who share a single braincell between them, and my current national service.
Have a good day, don't shit yourselves friends. I had a nasty call today.
Also sorry for the inactivity. Life was in the way. It still is, just less so, for now. Burnout is a thing, huh?
https://sao10k.carrd.co/ for contact.
---
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.5.2`
```yaml
base_model: meta-llama/Llama-3.3-70B-Instruct
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
sequence_len: 16384
bf16: auto
fp16:
tf32: false
flash_attention: true
adapter: lora
lora_model_dir:
lora_r: 128
lora_alpha: 16
lora_dropout: 0.1
lora_target_linear: true
lora_fan_in_fan_out:
peft_use_rslora: true
# Data
dataset_prepared_path: last_run_prepared
datasets:
- path: datasets/amoral-full-sys-prompt.json # Unalignment Data - Cleaned Up from Original, Split to its own file
type: customllama3
- path: datasets/mimi-superfix-RP-filtered-fixed.json # RP / Creative-Instruct Data
type: customllama3
- path: datasets/hespera-smartshuffle.json # Hesperus-v2-Instruct Data
type: customllama3
warmup_steps: 15
plugins:
- axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: true
# Iterations
num_epochs: 1
# Batching
gradient_accumulation_steps: 4
micro_batch_size: 1
gradient_checkpointing: "unsloth"
# Optimizer
optimizer: paged_ademamix_8bit
lr_scheduler: cosine
learning_rate: 0.000004
weight_decay: 0.1
max_grad_norm: 25.0
# Iterations
num_epochs: 1
# Misc
deepspeed: ./deepspeed_configs/zero3_bf16.json
```
</details><br>
---
```
Art by てぃあ
https://www.pixiv.net/en/users/724263
``` |