
# Open-Assistant Falcon 40B SFT MIX Model

This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM. 
It was trained on a mixture of OASST top-2 threads (exported on June 2, 2023), Dolly-15k and synthetic instruction datasets (see dataset configuration below).

## Model Details

- **Finetuned from:** [tiiuae/falcon-40b]((https://huggingface.co/tiiuae/falcon-40b)
- **Model type:** Causal decoder-only transformer language model
- **Language:** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
- **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-05_OpenAssistant_falcon-40b-sft-mix-1226_sampling_noprefix2.json), [multiligual-60](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-05_OpenAssistant_falcon-40b-sft-mix-1226_multilingual_noprefix2.json)
- **Eval results:** [ilm-eval](https://tju01.github.io/ilm-eval/)
- **Weights & Biases**: [Training log](https://wandb.ai/open-assistant/public-sft/runs/feplc450) (checkpoint: 1226 steps)
- **License:** Apache 2.0
- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)

## Prompting

Two special tokens are used to mark the beginning of user and assistant turns:
`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.

Input prompt example:
```
<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
```
The input ends with the `<|assistant|>` token to signal that the model should 
start generating the assistant reply.

## Configuration Details

Model:
```
falcon-40b:
  dtype: bf16
  learning_rate: 1e-5
  model_name: "tiiuae/falcon-40b"
  deepspeed_config: configs/zero3_config_falcon.json
  weight_decay: 0.0
  max_length: 2048
  warmup_steps: 20
  gradient_checkpointing: true
  gradient_accumulation_steps: 1
  per_device_train_batch_size: 18
  per_device_eval_batch_size: 10
  eval_steps: 120
  save_strategy: steps
  save_steps: 613
  num_train_epochs: 8
  save_total_limit: 4
  use_flash_attention: false
  residual_dropout: 0.3
  residual_dropout_lima: true
```


Dataset:
```
sft9-stage2:
  # oasst_export: 100.00% (29899)
  # vicuna: 50.00% (16963)
  # code_alpaca: 50.00% (9510)
  # oa_wiki_qa_bart_10000row: 100.00% (9434)
  # grade_school_math_instructions: 100.00% (8351)
  # dolly15k: 100.00% (14250)

  use_custom_sampler: true
  datasets:
    - oasst_export:
        lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk" # sft-8.0
        input_file_path: 2023-06-02_oasst_all_labels.jsonl.gz
        val_split: 0.05
        top_k: 2
    - vicuna:
        fraction: 0.5
        val_split: 0.025
        max_val_set: 250
    - code_alpaca:
        fraction: 0.5
        val_split: 0.05
        max_val_set: 250
    - oa_wiki_qa_bart_10000row:
        val_split: 0.05
        max_val_set: 250
    - grade_school_math_instructions:
        val_split: 0.05
    - dolly15k:
        val_split: 0.05
        max_val_set: 300

```
{"language": ["en", "de", "es", "fr"], "license": "apache-2.0", "tags": ["sft"], "datasets": ["OpenAssistant/oasst1", "databricks/databricks-dolly-15k"], "inference": false}
transformers pytorch RefinedWeb text-generation sft custom_code en de es fr dataset:OpenAssistant/oasst1 dataset:databricks/databricks-dolly-15k license:apache-2.0 autotrain_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #RefinedWeb #text-generation #sft #custom_code #en #de #es #fr #dataset-OpenAssistant/oasst1 #dataset-databricks/databricks-dolly-15k #license-apache-2.0 #autotrain_compatible #has_space #text-generation-inference #region-us 


# Open-Assistant Falcon 40B SFT MIX Model

This model is a fine-tuning of TII's Falcon 40B LLM. 
It was trained on a mixture of OASST top-2 threads (exported on June 2, 2023), Dolly-15k and synthetic instruction datasets (see dataset configuration below).

## Model Details

- Finetuned from: tiiuae/falcon-40b
- Model type: Causal decoder-only transformer language model
- Language: English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
- Demo: Continuations for 250 random prompts, multiligual-60
- Eval results: ilm-eval
- Weights & Biases: Training log (checkpoint: 1226 steps)
- License: Apache 2.0
- Contact: Open-Assistant Discord

## Prompting

Two special tokens are used to mark the beginning of user and assistant turns:
'<|prompter|>' and '<|assistant|>'. Each turn ends with a '<|endoftext|>' token.

Input prompt example:

The input ends with the '<|assistant|>' token to signal that the model should 
start generating the assistant reply.

## Configuration Details

Model:



Dataset:

# Open-Assistant Falcon 40B SFT MIX Model

This model is a fine-tuning of TII's Falcon 40B LLM. 
It was trained on a mixture of OASST top-2 threads (exported on June 2, 2023), Dolly-15k and synthetic instruction datasets (see dataset configuration below). ## Model Details

- Finetuned from: tiiuae/falcon-40b
- Model type: Causal decoder-only transformer language model
- Language: English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
- Demo: Continuations for 250 random prompts, multiligual-60
- Eval results: ilm-eval
- Weights & Biases: Training log (checkpoint: 1226 steps)
- License: Apache 2.0
- Contact: Open-Assistant Discord ## Prompting

Two special tokens are used to mark the beginning of user and assistant turns:
'<|prompter|>' and '<|assistant|>'. Each turn ends with a '<|endoftext|>' token.

Input prompt example:

The input ends with the '<|assistant|>' token to signal that the model should 
start generating the assistant reply. ## Configuration Details

Model:



Dataset:
TAGS
#transformers #pytorch #RefinedWeb #text-generation #sft #custom_code #en #de #es #fr #dataset-OpenAssistant/oasst1 #dataset-databricks/databricks-dolly-15k #license-apache-2.0 #autotrain_compatible #has_space #text-generation-inference #region-us 
 # Open-Assistant Falcon 40B SFT MIX Model

This model is a fine-tuning of TII's Falcon 40B LLM. 
It was trained on a mixture of OASST top-2 threads (exported on June 2, 2023), Dolly-15k and synthetic instruction datasets (see dataset configuration below). ## Model Details

- Finetuned from: tiiuae/falcon-40b
- Model type: Causal decoder-only transformer language model
- Language: English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
- Demo: Continuations for 250 random prompts, multiligual-60
- Eval results: ilm-eval
- Weights & Biases: Training log (checkpoint: 1226 steps)
- License: Apache 2.0
- Contact: Open-Assistant Discord ## Prompting

Two special tokens are used to mark the beginning of user and assistant turns:
'<|prompter|>' and '<|assistant|>'. Each turn ends with a '<|endoftext|>' token.

Input prompt example:

The input ends with the '<|assistant|>' token to signal that the model should 
start generating the assistant reply. ## Configuration Details

Model:



Dataset: