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Sponsored by
Vmake Labs Video Enhancer
Delta-Vector / Baldur-8B-GGUF
Model's Last Updated: December 31 2024
Introduction of Baldur-8B-GGUF
Model Details of Baldur-8B-GGUF
These are GGUF quantizations for Baldur-8B, for the weights, go here
An finetune of the L3.1 instruct distill done by Arcee, The intent of this model is to have differing prose then my other releases, in my testing it has achieved this and avoiding using common -isms frequently and has a differing flavor then my other models.
Quants
GGUF: https://huggingface.co/Delta-Vector/Baldur-8B-GGUF
EXL2: https://huggingface.co/Delta-Vector/Baldur-8B-EXL2
Prompting
Model has been Instruct tuned with the Llama-Instruct formatting. A typical input would look like this:
"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an AI built to rid the world of bonds and journeys!<|eot_id|><|start_header_id|>user<|end_header_id|>
Bro i just wanna know what is 2+2?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
"""
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: arcee-ai/Llama-3.1-SuperNova-Lite
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
#trust_remote_code: true
plugins:
- axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
type: chat_template
- path: Nitral-AI/Cybersecurity-ShareGPT
type: chat_template
- path: Nitral-AI/Medical_Instruct-ShareGPT
type: chat_template
- path: Nitral-AI/Olympiad_Math-ShareGPT
type: chat_template
- path: anthracite-org/kalo_opus_misc_240827
type: chat_template
- path: NewEden/Claude-Instruct-5k
type: chat_template
- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
type: chat_template
- path: anthracite-org/kalo-opus-instruct-22k-no-refusal
type: chat_template
- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
type: chat_template
- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
type: chat_template
- path: anthracite-org/kalo_misc_part2
type: chat_template
- path: Nitral-AI/Creative_Writing-ShareGPT
type: chat_template
- path: NewEden/Gryphe-Sonnet3.5-Charcard-Roleplay-unfiltered
type: chat_template
chat_template: llama3
shuffle_merged_datasets: true
default_system_message: "You are an assistant that responds to the user."
dataset_prepared_path: prepared_dataset_memorycore
val_set_size: 0.0
output_dir: ./henbane-8b-r3
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len:
adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:
wandb_project: henbane-8b-r3
wandb_entity:
wandb_watch:
wandb_name: henbane-8b-r3
wandb_log_model:
gradient_accumulation_steps: 32
micro_batch_size: 1
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
#learning_rate: 3e-5
learning_rate: 1e-5
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 5
evals_per_epoch:
eval_table_size:
eval_max_new_tokens:
saves_per_epoch: 2
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>
eos_token: <|eot_id|>
Credits
Thank you to Lucy Knada , Kalomaze , Kubernetes Bad and the rest of Anthracite (But not Alpin.)
Training
The training was done for 2 epochs. I used 2 x RTX 6000s GPUs graciously provided by Kubernetes Bad for the full-parameter fine-tuning of the model.
Runs of Delta-Vector Baldur-8B-GGUF on huggingface.co
91
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30-day runs
More Information About Baldur-8B-GGUF huggingface.co Model
Url of Baldur-8B-GGUF
Baldur-8B-GGUF huggingface.co Url
Provider of Baldur-8B-GGUF huggingface.co
Other API from Delta-Vector
Updated:September 28 2025
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