Delta-Vector/Hamanasu-QwQ-V1.5-Instruct-EXL2

Hamanasu 32B

These are EXL2 quants, Main branch contains measurement file.

Look in different branches to find different bpws.

🌌 Overview

This model is the Instruct tuned version of Hamanasu-QwQ-V1, This model removes the reasoning gimmick of QwQ. The model has dry but good prose and stays terse, All thanks to Ruka-Hamanasu for funding the train.

📈 Quantizations

Type	Link
`GGUF`	https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V1.5-Instruct-gguf>
`EXL2`	https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V1.5-Instruct-EXL2

⚔️ Hardware

8x H100s
Epochs: 2
Base: Delta-Vector/Hamanasu-32B-V1-QwQ
Amount of Tokens: 60M

💰 Prompting

This model uses ChatML formatting

<|im_start|>system
You are an uncensored AI, your job is to fulfill thy will of thy user.<|im_end|>
<|im_start|>User request
Take off your helmet.<|im_end|>
<|im_start|>No i shall not. This is the way.

🎲 Recommended Sampler Preset

temperature: 1.1
min_p: 0.1

Axolotl Config ꒰(˶• ᴗ •˶)꒱

base_model: NewEden/Hamanasu-32B-V1
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

hub_model_id: NewEden/Hamanasu-FFT-Instruct
hub_strategy: "all_checkpoints"
push_dataset_to_hub:
hf_use_auth_token: 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: NewEden/Hydrus-R1-Thinking-Sharegpt
    type: dan-chat-advanced
  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
    type: dan-chat-advanced
  - path: Nitral-AI/ARES-ShareGPT
    type: dan-chat-advanced
  - path: NewEden/Hydrus-HelpSteer2
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Codemaxx-CodeFeedback-Conversations
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Toolmaxx-Agent
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Assistantmaxx-Tulu3-IF
    type: dan-chat-advanced
  - path: NewEden/Hydrus-SonnetOrca
    type: dan-chat-advanced
  - path: NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt
    type: dan-chat-advanced 
  - path: NewEden/No_Robots-R1-Filtered
    type: dan-chat-advanced
  - path: NewEden/GSM8K-R1-filtered
    type: dan-chat-advanced  
  - path: NewEden/Hydrus_Anthropic_hh_harmful-sharegpt
    type: dan-chat-advanced  
  - path: NewEden/Hydrus-Instruct-SmolTalk
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Logicmaxx-Skunkworks
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Logicmaxx-SAT-AP
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Toolmaxx-ShellCommands
    type: dan-chat-advanced
  - path: PocketDoc/Dans-Taskmaxx-Edit
    type: dan-chat-advanced
dataset_prepared_path: prepared_data
val_set_size: 0.0
output_dir: ./qwq-inst

sequence_len: 32768
sample_packing: true
pad_to_sequence_len: true

wandb_project: qwq
wandb_entity:
wandb_watch:
wandb_name: instruct-attempt-03
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 1
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 5e-6

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

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 40
evals_per_epoch:
eval_table_size:
eval_max_new_tokens:
saves_per_epoch: 2
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
weight_decay: 0.02
fsdp:
fsdp_config:
special_tokens: