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| 1 |
+
---
|
| 2 |
+
License: agpl-3.0
|
| 3 |
+
Language:
|
| 4 |
+
- En
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| 5 |
+
Pipeline_tag: text-generation
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| 6 |
+
Base_model: nvidia/Mistral-NeMo-Minitron-8B-Base
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| 7 |
+
Tags:
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| 8 |
+
- Chat
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| 9 |
+
license: agpl-3.0
|
| 10 |
+
datasets:
|
| 11 |
+
- anthracite-org/kalo-opus-instruct-22k-no-refusal
|
| 12 |
+
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
|
| 13 |
+
- lodrick-the-lafted/kalo-opus-instruct-3k-filtered
|
| 14 |
+
- anthracite-org/nopm_claude_writing_fixed
|
| 15 |
+
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
|
| 16 |
+
- anthracite-org/kalo_opus_misc_240827
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| 17 |
+
- anthracite-org/kalo_misc_part2
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| 18 |
+
tags:
|
| 19 |
+
- chat
|
| 20 |
+
---
|
| 21 |
+
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| 22 |
+
|
| 23 |
+
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| 24 |
+
|
| 25 |
+
# Quants
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| 26 |
+
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| 27 |
+
GGUF:
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| 28 |
+
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| 29 |
+
EXL2:
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
## Prompting
|
| 33 |
+
Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:
|
| 34 |
+
|
| 35 |
+
```py
|
| 36 |
+
"""<|im_start|>system
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| 37 |
+
system prompt<|im_end|>
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| 38 |
+
<|im_start|>user
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| 39 |
+
Hi there!<|im_end|>
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| 40 |
+
<|im_start|>assistant
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| 41 |
+
Nice to meet you!<|im_end|>
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| 42 |
+
<|im_start|>user
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| 43 |
+
Can I ask a question?<|im_end|>
|
| 44 |
+
<|im_start|>assistant
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| 45 |
+
"""
|
| 46 |
+
```
|
| 47 |
+
## System Prompting
|
| 48 |
+
|
| 49 |
+
I would highly recommend using Sao10k's Euryale System prompt, But the "Roleplay Simple" system prompt provided within SillyTavern will work aswell.
|
| 50 |
+
|
| 51 |
+
```
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| 52 |
+
Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.
|
| 53 |
+
|
| 54 |
+
<Guidelines>
|
| 55 |
+
• Write upto 200 words.
|
| 56 |
+
• Maintain the character persona but allow it to evolve with the story.
|
| 57 |
+
• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
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| 58 |
+
• All types of outputs are encouraged; respond accordingly to the narrative.
|
| 59 |
+
• Include dialogues, actions, and thoughts in each response.
|
| 60 |
+
• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
|
| 61 |
+
• Use emotional symbols such as "!" and "~" in appropriate contexts.
|
| 62 |
+
• Incorporate onomatopoeia when suitable.
|
| 63 |
+
• Allow time for {{user}} to respond with their own input, respecting their agency.
|
| 64 |
+
• Act as secondary characters and NPCs as needed, and remove them when appropriate.
|
| 65 |
+
• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
|
| 66 |
+
</Guidelines>
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| 67 |
+
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| 68 |
+
<Forbidden>
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| 69 |
+
• Writing more then 200 words.
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| 70 |
+
• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.
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| 71 |
+
• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.
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| 72 |
+
• Repetitive and monotonous outputs.
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| 73 |
+
• Positivity bias in your replies.
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| 74 |
+
• Being overly extreme or NSFW when the narrative context is inappropriate.
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| 75 |
+
</Forbidden>
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| 76 |
+
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| 77 |
+
Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.
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| 78 |
+
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| 79 |
+
```
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| 80 |
+
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| 81 |
+
|
| 82 |
+
## Axolotl config
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| 83 |
+
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| 84 |
+
<details><summary>See axolotl config</summary>
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| 85 |
+
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| 86 |
+
Axolotl version: `0.4.1`
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| 87 |
+
```yaml
|
| 88 |
+
base_model: Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML
|
| 89 |
+
model_type: AutoModelForCausalLM
|
| 90 |
+
tokenizer_type: AutoTokenizer
|
| 91 |
+
|
| 92 |
+
plugins:
|
| 93 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 94 |
+
liger_rope: true
|
| 95 |
+
liger_rms_norm: true
|
| 96 |
+
liger_swiglu: true
|
| 97 |
+
#liger_cross_entropy: true
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| 98 |
+
liger_fused_linear_cross_entropy: true
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| 99 |
+
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| 100 |
+
load_in_8bit: false
|
| 101 |
+
load_in_4bit: false
|
| 102 |
+
strict: false
|
| 103 |
+
|
| 104 |
+
datasets:
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| 105 |
+
- path: anthracite-core/c2_logs_16k_llama_v1.1
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| 106 |
+
type: sharegpt
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| 107 |
+
conversation: chatml
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| 108 |
+
- path: anthracite-org/kalo-opus-instruct-22k-no-refusal
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| 109 |
+
type: sharegpt
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| 110 |
+
conversation: chatml
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| 111 |
+
- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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| 112 |
+
type: sharegpt
|
| 113 |
+
conversation: chatml
|
| 114 |
+
- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
|
| 115 |
+
type: sharegpt
|
| 116 |
+
conversation: chatml
|
| 117 |
+
- path: anthracite-org/nopm_claude_writing_fixed
|
| 118 |
+
type: sharegpt
|
| 119 |
+
conversation: chatml
|
| 120 |
+
- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
|
| 121 |
+
type: sharegpt
|
| 122 |
+
conversation: chatml
|
| 123 |
+
- path: anthracite-org/kalo_opus_misc_240827
|
| 124 |
+
type: sharegpt
|
| 125 |
+
conversation: chatml
|
| 126 |
+
- path: anthracite-org/kalo_misc_part2
|
| 127 |
+
type: sharegpt
|
| 128 |
+
conversation: chatml
|
| 129 |
+
chat_template: chatml
|
| 130 |
+
shuffle_merged_datasets: false
|
| 131 |
+
default_system_message: "You are a helpful assistant that responds to the user."
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| 132 |
+
dataset_prepared_path: /workspace/data/8b-nemo-fft-data
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| 133 |
+
val_set_size: 0.0
|
| 134 |
+
output_dir: /workspace/data/8b-nemo-fft-out
|
| 135 |
+
|
| 136 |
+
sequence_len: 16384
|
| 137 |
+
sample_packing: true
|
| 138 |
+
eval_sample_packing: false
|
| 139 |
+
pad_to_sequence_len: true
|
| 140 |
+
|
| 141 |
+
adapter:
|
| 142 |
+
lora_model_dir:
|
| 143 |
+
lora_r:
|
| 144 |
+
lora_alpha:
|
| 145 |
+
lora_dropout:
|
| 146 |
+
lora_target_linear:
|
| 147 |
+
lora_fan_in_fan_out:
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| 148 |
+
|
| 149 |
+
wandb_project: 8b-nemoprune-fft
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| 150 |
+
wandb_entity:
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| 151 |
+
wandb_watch:
|
| 152 |
+
wandb_name: attempt-01
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| 153 |
+
wandb_log_model:
|
| 154 |
+
|
| 155 |
+
gradient_accumulation_steps: 2
|
| 156 |
+
micro_batch_size: 2
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| 157 |
+
num_epochs: 4
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| 158 |
+
optimizer: adamw_bnb_8bit
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| 159 |
+
lr_scheduler: cosine
|
| 160 |
+
learning_rate: 0.00001
|
| 161 |
+
|
| 162 |
+
train_on_inputs: false
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| 163 |
+
group_by_length: false
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| 164 |
+
bf16: auto
|
| 165 |
+
fp16:
|
| 166 |
+
tf32: false
|
| 167 |
+
|
| 168 |
+
gradient_checkpointing: true
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| 169 |
+
early_stopping_patience:
|
| 170 |
+
resume_from_checkpoint: /workspace/workspace/thing
|
| 171 |
+
local_rank:
|
| 172 |
+
logging_steps: 1
|
| 173 |
+
xformers_attention:
|
| 174 |
+
flash_attention: true
|
| 175 |
+
|
| 176 |
+
warmup_steps: 10
|
| 177 |
+
evals_per_epoch:
|
| 178 |
+
eval_table_size:
|
| 179 |
+
eval_max_new_tokens:
|
| 180 |
+
saves_per_epoch: 1
|
| 181 |
+
debug:
|
| 182 |
+
deepspeed: deepspeed_configs/zero3_bf16.json
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| 183 |
+
weight_decay: 0.001
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| 184 |
+
fsdp:
|
| 185 |
+
fsdp_config:
|
| 186 |
+
special_tokens:
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| 187 |
+
pad_token: <pad>
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| 188 |
+
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| 189 |
+
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| 190 |
+
```
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| 191 |
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| 192 |
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</details><br>
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| 193 |
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| 194 |
+
## Credits
|
| 195 |
+
|
| 196 |
+
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| 197 |
+
- [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal)
|
| 198 |
+
- [Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned)
|
| 199 |
+
- [lodrick-the-lafted/kalo-opus-instruct-3k-filtered](https://huggingface.co/datasets/lodrick-the-lafted/kalo-opus-instruct-3k-filtered)
|
| 200 |
+
- [anthracite-org/nopm_claude_writing_fixed](https://huggingface.co/datasets/anthracite-org/nopm_claude_writing_fixed)
|
| 201 |
+
- [Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned)
|
| 202 |
+
- [anthracite-org/kalo_opus_misc_240827](https://huggingface.co/datasets/anthracite-org/kalo_opus_misc_240827)
|
| 203 |
+
- [anthracite-org/kalo_misc_part2](https://huggingface.co/datasets/anthracite-org/kalo_misc_part2)
|
| 204 |
+
- [anthracite-core/c2_logs_16k_llama_v1.1](https://huggingface.co/datasets/anthracite-core/c2_logs_16k_llama_v1.1)
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
## Training
|
| 208 |
+
The training was done for 2 epochs. We used 10 x [A40s](https://www.nvidia.com/en-us/data-center/a40/) GPUs graciously provided by [Kalomaze](https://huggingface.co/kalomaze) for the full-parameter fine-tuning of the model.
|
| 209 |
+
|
| 210 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 211 |
+
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| 212 |
+
## Safety
|
| 213 |
+
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| 214 |
+
Avoid misusing this model, or you’ll need a ‘clicker’ to reset reality. ;)
|
| 215 |
+
|
| 216 |
+
## Musings
|
| 217 |
+
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| 218 |
+
One of the members of Anthracite had quite an interesting idea, to finetune a smaller model for 4 epochs at a lower Learning rate as quote "Smaller models learn slower" - [Kalomaze](https://huggingface.co/kalomaze) provided access to 10 X A40s and We finetuned what now is [Tor-8B]() for 2.5 epochs (and it's 4 Epoch version released as [Darkens-8B]()) and the result was quite impressive and the same configuration being used to train [Magnum=9B-V4] & [Odin-9B]. We also finetuned the model at above the 8192 context length to see if the model could "heal" in a way to a context length of 16384 with Needle tests coming soon ;)
|
| 219 |
+
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+
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+
|