Upload tokenizer_config.json

README.md

@@ -1,226 +1,3 @@
----
-language:
-- en
-- fr
-- es
-- pt
-tags:
-- falcon3
-license: other
-license_name: falcon-llm-license
-license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
-library_name: transformers
----
-
-<div align="center">
-    <img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
-</div>
-
-# Falcon3-7B-Base
-
-**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
-
-This repository contains the **Falcon3-7B-Base**. It achieves state of art results (at the time of release) on reasoning, language understanding, instruction following, code and mathematics tasks.
-Falcon3-7B-Base supports 4 languages (english, french, spanish, portuguese) and a context length up to 32K.
-
-⚠️ **This is a raw, pretrained model, which should be further finetuned for most usecases.** 
-
-## Model Details
-- Architecture
-  - transformer based causal decoder only architecture
-  - 28 decoder blocks
-  - grouped query attention (GQA) for faster inference: 12 query heads and 4 KV heads
-  - wider head dimension: 256
-  - high RoPE value to support long context understanding: 1000042
-  - 32k context length
-  - 131k vocab size
-- Pretrained on 14 Teratokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 1024 H100 GPU chips
-- Supports EN, FR, ES, PT
-- Developed by [Technology Innovation Institute](https://www.tii.ae)
-- License: TII Falcon-LLM License 2.0
-- Model Release Date: December 2024
-
-
-## Getting started
-
-<details>
-<summary> Click to expand </summary>
-
-```python
-import torch
-from transformers import pipeline
-
-pipe = pipeline(
-    "text-generation", 
-    model="tiiuae/Falcon3-7B-Base", 
-    torch_dtype=torch.bfloat16, 
-    device_map="auto"
-)
-response = pipe("Question: How many hours in one day? Answer: ")
-print(response[0]['generated_text'])
-```
-
-</details>
-
-<br>
-
-## Benchmarks
-We report in the following table our internal pipeline benchmarks.
- - We use [lm-evaluation harness](https://github.com/EleutherAI/lm-evaluation-harness).
- - We report **raw scores**.
- - We use same batch-size across all models.
-
-
-
-<table border="1" style="width: 100%; text-align: center; border-collapse: collapse;">
-    <colgroup>
-        <col style="width: 10%;">
-        <col style="width: 10%;">
-        <col style="width: 7%;">
-        <col style="width: 7%;">
-        <col style="width: 7%;">
-        <col style="width: 7%;">
-        <col style="background-color: rgba(80, 15, 213, 0.5); width: 7%;">
-    </colgroup>
-    <thead>
-        <tr>
-            <th>Category</th>
-            <th>Benchmark</th>
-            <th>Llama3.1-8B</th>
-            <th>Qwen2-7B</th>
-            <th>Qwen2.5-7B</th>
-            <th>gemma-2-9b</th>
-            <th>Falcon3-7B-Base</th>
-        </tr>
-    </thead>
-    <tbody>
-        <tr>
-            <td rowspan="3">General</td>
-            <td>MMLU (5-shot)</td>
-            <td>65.2</td>
-            <td>70.4</td>
-            <td>74.2</td>
-            <td>-</td>
-            <td>67.5</td>
-        </tr>
-        <tr>
-            <td>MMLU-PRO (5-shot)</td>
-            <td>32.7</td>
-            <td>42.1</td>
-            <td>43.5</td>
-            <td>-</td>
-            <td>39.2</td>
-        </tr>
-        <tr>
-            <td>IFEval</td>
-            <td>12.0</td>
-            <td>30.6</td>
-            <td>33.9</td>
-            <td>-</td>
-            <td>34.3</td>
-        </tr>
-        <tr>
-            <td rowspan="2">Math</td>
-            <td>GSM8K (5-shot)</td>
-            <td>49.4</td>
-            <td>77.9</td>
-            <td>82.9</td>
-            <td>-</td>
-            <td>76.2</td>
-        </tr>
-        <tr>
-            <td>MATH(4-shot)</td>
-            <td>4.1</td>
-            <td>17.5</td>
-            <td>15.5</td>
-            <td>-</td>
-            <td>18.0</td>
-        </tr>
-        <tr>
-            <td rowspan="4">Reasoning</td>
-            <td>Arc Challenge (25-shot)</td>
-            <td>53.4</td>
-            <td>57.4</td>
-            <td>59.0</td>
-            <td>-</td>
-            <td>59.6</td>
-        </tr>
-        <tr>
-            <td>GPQA (0-shot)</td>
-            <td>31.0</td>
-            <td>31.9</td>
-            <td>33.0</td>
-            <td>-</td>
-            <td>35.5</td>
-        </tr>
-        <tr>
-            <td>MUSR (0-shot)</td>
-            <td>38.0</td>
-            <td>44.1</td>
-            <td>44.2</td>
-            <td>-</td>
-            <td>47.3</td>
-        </tr>
-        <tr>
-            <td>BBH (3-shot)</td>
-            <td>46.5</td>
-            <td>53.3</td>
-            <td>54.0</td>
-            <td>-</td>
-            <td>51.0</td>
-        </tr>
-        <tr>
-            <td rowspan="4">CommonSense Understanding</td>
-            <td>PIQA (0-shot)</td>
-            <td>80.3</td>
-            <td>79.8</td>
-            <td>78.7</td>
-            <td>-</td>
-            <td>77.7</td>
-        </tr>
-        <tr>
-            <td>SciQ (0-shot)</td>
-            <td>96.3</td>
-            <td>95.9</td>
-            <td>96.6</td>
-            <td>-</td>
-            <td>95.3</td>
-        </tr>
-        <tr>
-            <td>Winogrande (0-shot)</td>
-            <td>74.0</td>
-            <td>72.1</td>
-            <td>72.9</td>
-            <td>-</td>
-            <td>71.0</td>
-        </tr>
-        <tr>
-            <td>OpenbookQA (0-shot)</td>
-            <td>33.4</td>
-            <td>35.2</td>
-            <td>33.6</td>
-            <td>-</td>
-            <td>31.4</td>
-        </tr>
-    </tbody>
-</table>
-
-## Useful links
-- View our [release blogpost](https://huggingface.co/blog/falcon3).
-- Feel free to join [our discord server](https://discord.gg/fwXpMyGc) if you have any questions or to interact with our researchers and developers.
-
-## Technical Report
-
-Coming soon....
-
-## Citation
-If Falcon3 family were helpful to your work, feel free to give us a cite.
-
-```
-@misc{Falcon3,
-    title = {Falcon 3 family of Open Foundation Models},
-    author = {TII Team},
-    month = {December},
-    year = {2024}
-}
-```
+---
+license: apache-2.0
+---

config.json

@@ -1,9 +1,11 @@
 {
+  "_name_or_path": "falcon3-7b-32k-best",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "bos_token_id": 11,
   "eos_token_id": 11,
   "head_dim": 256,
   "hidden_act": "silu",
@@ -22,7 +24,7 @@
   "rope_theta": 1000042,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.46.1",
+  "transformers_version": "4.46.2",
   "use_cache": true,
   "vocab_size": 131072
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 11,
   "eos_token_id": 11,
-  "transformers_version": "4.46.1"
+  "transformers_version": "4.46.2"
 }

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