Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
llama
Generated from Trainer
custom_code
text-generation-inference
Instructions to use flytech/togetherchat-dev-7b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flytech/togetherchat-dev-7b-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="flytech/togetherchat-dev-7b-v2", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("flytech/togetherchat-dev-7b-v2", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("flytech/togetherchat-dev-7b-v2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use flytech/togetherchat-dev-7b-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "flytech/togetherchat-dev-7b-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "flytech/togetherchat-dev-7b-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/flytech/togetherchat-dev-7b-v2
- SGLang
How to use flytech/togetherchat-dev-7b-v2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "flytech/togetherchat-dev-7b-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "flytech/togetherchat-dev-7b-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "flytech/togetherchat-dev-7b-v2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "flytech/togetherchat-dev-7b-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use flytech/togetherchat-dev-7b-v2 with Docker Model Runner:
docker model run hf.co/flytech/togetherchat-dev-7b-v2
Training in progress, step 100, checkpoint
Browse files- last-checkpoint/README.md +21 -0
- last-checkpoint/adapter_config.json +26 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +24 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +36 -0
- last-checkpoint/trainer_state.json +32 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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last-checkpoint/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "togethercomputer/LLaMA-2-7B-32K",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 8,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 4,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj",
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"o_proj",
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"gate_proj",
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"up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bff80dd014b56c55ebc104f8e2dda7ef71cda17c3e8572fd0c7f2b477607733f
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size 40036040
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last-checkpoint/added_tokens.json
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{
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"<pad>": 32000
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}
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 20523679
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4eab481570e0fab6fdd5a3ceaec736c7b9ae374f778fe345ca061537f679f22
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size 627
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last-checkpoint/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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last-checkpoint/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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last-checkpoint/tokenizer_config.json
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{
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"add_bos_token": false,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"legacy": false,
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"model_max_length": 32768,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"use_default_system_prompt": true
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}
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last-checkpoint/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.14219694276573053,
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"eval_steps": 100,
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"global_step": 100,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.14,
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"learning_rate": 0.0001,
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| 14 |
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"loss": 1.2192,
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| 15 |
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"step": 100
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},
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{
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"epoch": 0.14,
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"eval_runtime": 1408.0486,
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"eval_samples_per_second": 1.776,
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"eval_steps_per_second": 0.222,
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"step": 100
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}
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],
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"logging_steps": 100,
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"max_steps": 2109,
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| 27 |
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"num_train_epochs": 3,
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| 28 |
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"save_steps": 100,
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| 29 |
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"total_flos": 3.32202164355072e+16,
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"trial_name": null,
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"trial_params": null
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}
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last-checkpoint/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e668eb1f67bb57b19484c16602574941d47a22c20288373d5bfa9d9218f14bc
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size 4027
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