"Update README.md"

README.md

@@ -1,10 +1,124 @@
 ---
 license: apache-2.0
+language:
+- en
+- de
+- es
+- fr
+tags:
+- sft
+inference: false
+datasets:
+- OpenAssistant/oasst1
 ---
-![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)
+[![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)]()
+
 ## I am still building the structure of these descriptions.
-These will carry increasingly more content to help find the best models for a purpose.
 
-This is a gguf quantized version of
+These will contain increasingly more content to help find the best models for a purpose.
+
+# falcon-40b-sft-top1-560 - GGUF
+- Model creator: [OpenAssistant](https://huggingface.co/OpenAssistant)
+- Original model: [falcon-40b-sft-top1-560](https://huggingface.co/OpenAssistant/falcon-40b-sft-top1-560)
+
+
+
+# About GGUF format
+
+`gguf` is the current file format used by the [`ggml`](https://github.com/ggerganov/ggml) library.
+A growing list of Software is using it and can therefore use this model.
+The core project making use of the ggml library is the [llama.cpp](https://github.com/ggerganov/llama.cpp) project by Georgi Gerganov
+
+# Quantization variants
+
+There is a bunch of quantized files available. How to choose the best for you:
+
+# legacy quants
+
+Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
+Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
+Falcon 7B models cannot be quantized to K-quants.
+
+# K-quants
+
+K-quants are based on the idea that the quantization of certain parts affects the quality in different ways. If you quantize certain parts more and others less, you get a more powerful model with the same file size, or a smaller file size and lower memory load with comparable performance.
+So, if possible, use K-quants.
+With a Q6_K you should find it really hard to find a quality difference to the original model - ask your model two times the same question and you may encounter bigger quality differences.
+
+
+
+# Original Model Card:
+# Open-Assistant Falcon 40B SFT OASST-TOP1 Model
+
+This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM. 
+It was trained with top-1 (high-quality) demonstrations of the OASST data set (exported on May 6, 2023) with an effective batch size of 144 for ~7.5 epochs with LIMA style dropout (p=0.3) and a context-length of 2048 tokens.
+
+## 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%2F2023-06-03_OpenAssistant_falcon-40b-sft-top1-560_sampling_noprefix2.json)
+- **Eval results:** [ilm-eval](https://tju01.github.io/ilm-eval/)
+- **Weights & Biases**: [Training log](https://wandb.ai/open-assistant/public-sft/runs/3lr77x4h) (Checkpoint: 560 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
+  log_dir: "falcon_log_40b"
+  learning_rate: 5e-6
+  model_name: "tiiuae/falcon-40b"
+  deepspeed_config: configs/zero3_config_falcon.json
+  output_dir: falcon
+  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: 80
+  save_steps: 80
+  num_train_epochs: 8
+  save_total_limit: 4
+  use_flash_attention: false
+  residual_dropout: 0.3
+  residual_dropout_lima: true
+  sort_by_length: false
+  save_strategy: steps
+```
 
-https://huggingface.co/OpenAssistant/falcon-40b-sft-top1-560
+Dataset:
+```
+oasst-top1:
+  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: 2023-05-06_OASST_labels.jsonl.gz
+        val_split: 0.05
+        top_k: 1
+```<center>
+[![GitHub](https://maddes8cht.github.io/assets/buttons/github-io-button.png)](https://maddes8cht.github.io)
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+</center>