Delta-Vector / Tor-8B

huggingface.co
Total runs: 29
24-hour runs: 2
7-day runs: 5
30-day runs: 10
Model's Last Updated: December 31 2024

Introduction of Tor-8B

Model Details of Tor-8B

An earlier checkpoint of Darkens-8B using the same configuration that i felt was different enough from it's 4 epoch cousin to release, Finetuned ontop of the Prune/Distill NeMo 8B done by Nvidia, This model aims to have generally good prose and writing while not falling into claude-isms.

Quants

GGUF: https://huggingface.co/Delta-Vector/Tor-8B-GGUF

EXL2: https://huggingface.co/Delta-Vector/Tor-8B-EXL2

Prompting

Model has been Instruct tuned with the ChatML formatting. A typical input would look like this:

"""<|im_start|>system
system prompt<|im_end|>
<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""
System Prompting

I would highly recommend using Sao10k's Euryale System prompt, But the "Roleplay Simple" system prompt provided within SillyTavern will work aswell.

Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.

<Guidelines>
• Maintain the character persona but allow it to evolve with the story.
• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.
• All types of outputs are encouraged; respond accordingly to the narrative.
• Include dialogues, actions, and thoughts in each response.
• Utilize all five senses to describe scenarios within {{char}}'s dialogue.
• Use emotional symbols such as "!" and "~" in appropriate contexts.
• Incorporate onomatopoeia when suitable.
• Allow time for {{user}} to respond with their own input, respecting their agency.
• Act as secondary characters and NPCs as needed, and remove them when appropriate.
• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.
</Guidelines>

<Forbidden>
• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.
• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.
• Repetitive and monotonous outputs.
• Positivity bias in your replies.
• Being overly extreme or NSFW when the narrative context is inappropriate.
</Forbidden>

Follow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.
Axolotl config
See axolotl config

Axolotl version: 0.4.1

base_model: Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
#liger_cross_entropy: true
liger_fused_linear_cross_entropy: true

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: PRIVATE CLAUDE LOG FILTER
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
    type: sharegpt
    conversation: chatml
  - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
    type: sharegpt
    conversation: chatml
  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/nopm_claude_writing_fixed
    type: sharegpt
    conversation: chatml
  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo_opus_misc_240827
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo_misc_part2
    type: sharegpt
    conversation: chatml
chat_template: chatml
shuffle_merged_datasets: false
default_system_message: "You are a helpful assistant that responds to the user."
dataset_prepared_path: /workspace/data/8b-nemo-fft-data
val_set_size: 0.0
output_dir: /workspace/data/8b-nemo-fft-out

sequence_len: 16384
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true

adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:

wandb_project: 8b-nemoprune-fft
wandb_entity:
wandb_watch:
wandb_name: attempt-01
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.00001

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint: /workspace/workspace/thing 
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 10
evals_per_epoch:
eval_table_size:
eval_max_new_tokens:
saves_per_epoch: 1
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
weight_decay: 0.001
fsdp:
fsdp_config:
special_tokens:
  pad_token: <pad>


Credits

Thank you to Lucy Knada , Kalomaze , Kubernetes Bad and the rest of Anthracite (But not Alpin.)

Training

The training was done for 4 epochs. (This model is the 2 epoch checkpoint), I used 10 x A40s GPUs graciously provided by Kalomaze for the full-parameter fine-tuning of the model.

Built with Axolotl

Runs of Delta-Vector Tor-8B on huggingface.co

29
Total runs
2
24-hour runs
3
3-day runs
5
7-day runs
10
30-day runs

More Information About Tor-8B huggingface.co Model

More Tor-8B license Visit here:

https://choosealicense.com/licenses/agpl-3.0

Tor-8B huggingface.co

Tor-8B huggingface.co is an AI model on huggingface.co that provides Tor-8B's model effect (), which can be used instantly with this Delta-Vector Tor-8B model. huggingface.co supports a free trial of the Tor-8B model, and also provides paid use of the Tor-8B. Support call Tor-8B model through api, including Node.js, Python, http.

Delta-Vector Tor-8B online free

Tor-8B huggingface.co is an online trial and call api platform, which integrates Tor-8B's modeling effects, including api services, and provides a free online trial of Tor-8B, you can try Tor-8B online for free by clicking the link below.

Delta-Vector Tor-8B online free url in huggingface.co:

https://huggingface.co/Delta-Vector/Tor-8B

Tor-8B install

Tor-8B is an open source model from GitHub that offers a free installation service, and any user can find Tor-8B on GitHub to install. At the same time, huggingface.co provides the effect of Tor-8B install, users can directly use Tor-8B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Tor-8B install url in huggingface.co:

https://huggingface.co/Delta-Vector/Tor-8B

Url of Tor-8B

Provider of Tor-8B huggingface.co

Delta-Vector
ORGANIZATIONS

Other API from Delta-Vector

huggingface.co

Total runs: 34
Run Growth: 20
Growth Rate: 57.14%
Updated:December 31 2024