Text Generation
Transformers
PyTorch
English
mixtral
conversational
Inference Endpoints
text-generation-inference
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base_model: /workspace/models/Mixtral-8x7B-v0.1
model_type: MixtralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: false

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: /workspace/datasets/dolphin/dolphin201.jsonl
    type: alpaca_w_system.load_open_orca_chatml
  - path: /workspace/datasets/dolphin-coder-translate.jsonl
    type: alpaca_w_system.load_open_orca_chatml
  - path: /workspace/datasets/dolphin-coder-codegen.jsonl
    type: alpaca_w_system.load_open_orca_chatml
  - path: /workspace/datasets/data-evol_instruct-decontaminated-converted.jsonl
    type: alpaca_w_system.load_open_orca_chatml
  - path: /workspace/datasets/data-oss_instruct-decontaminated-converted.jsonl
    type: alpaca_w_system.load_open_orca_chatml
  - path: /workspace/datasets/CapybaraPure_Decontaminated-converted.jsonl
    type: sharegpt
    conversation: chatml
  - path: /workspace/datasets/not_samantha_norefusals.jsonl
    type: sharegpt
    conversation: chatml
  - path: teknium/openhermes
    type: alpaca
    prompt_style: chatml

dataset_prepared_path:
val_set_size: 0
output_dir: /workspace/dolphin-2.6-mixtral-8x7b
resume_from_checkpoint: 
hf_use_auth_token:

adapter:  qlora
lora_model_dir:

sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true

lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
  - q_proj
  - k_proj
  - v_proj
  - o_proj
  - w1
  - w2
  - w3
lora_target_linear:
lora_fan_in_fan_out:
lora_modules_to_save:
  - embed_tokens
  - lm_head

wandb_project: dolphin
wandb_entity: 
wandb_watch:
wandb_run_id: 
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 3
num_epochs: 3
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 0.0002

model_config:
  output_router_logits: true

train_on_inputs:
group_by_length: false
bf16: true
fp16: false
tf32: false

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

warmup_steps: 100
eval_steps: 
save_steps: 0.01
save_total_limit: 2
save_safetensors: false
eval_sample_packing:
debug:
deepspeed: deepspeed/zero2.json
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|im_end|>"
tokens:
  - "<|im_start|>"
trust_remote_code: true