---
base_model: Qwen/Qwen2-7B
datasets:
- macadeliccc/opus_samantha
- cognitivecomputations/ultrachat-uncensored
- teknium/OpenHermes-2.5
- Sao10K/Claude-3-Opus-Instruct-15K
license: apache-2.0
---
# Samantha Qwen2 7B
Trained on 2x4090 using QLoRa and FSDP
+ [LoRa](macadeliccc/Samantha-Qwen-2-7B-lora)
## Prompt Template
```
<|im_start|>system
You are a friendly assistant.<|im_end|>
<|im_start|>user
What is the capital of France?<|im_end|>
<|im_start|>assistant
The capital of France is Paris.
```
## Quants
+ [AWQ](https://huggingface.co/macadeliccc/Samantha-Qwen-2-7B)
[
](https://github.com/OpenAccess-AI-Collective/axolotl)
See axolotl config
axolotl version: `0.4.0`
```yaml
base_model: Qwen/Qwen-7B
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
trust_remote_code: true
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: macadeliccc/opus_samantha
type: sharegpt
field: conversations
conversation: chatml
- path: uncensored-ultrachat.json
type: sharegpt
field: conversations
conversation: chatml
- path: openhermes_200k.json
type: sharegpt
field: conversations
conversation: chatml
- path: opus_instruct.json
type: sharegpt
field: conversations
conversation: chatml
chat_template: chatml
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./outputs/lora-out
sequence_len: 2048
sample_packing: false
pad_to_sequence_len:
adapter: qlora
lora_model_dir:
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention:
warmup_steps: 250
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
```