Add files using upload-large-folder tool

.gitattributes

@@ -1,2 +1,35 @@
-*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,85 +1,87 @@
+
 ---
-license: llama2
-base_model: meta-llama/CodeLlama-70b-Python-hf
-tags:
-  - code
-  - code-generation
-  - tab-completion
-  - python
-  - llama
-  - finetuned
 language:
-  - code
+- code
+pipeline_tag: text-generation
+tags:
+- llama-2
+license: llama2
 ---
+# **Code Llama**
+Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 70B Python specialist version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.
 
-# Python Tab Completion CodeLlama 70B
+> [!NOTE]
+> This is a non-official Code Llama repo. You can find the official Meta repository in the [Meta Llama organization](https://huggingface.co/meta-llama/CodeLlama-70b-Python-hf).
 
-## Model Description
+|     | Base Model                                                                    | Python                                                                                      | Instruct                                                                                        |
+| --- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
+| 7B  | [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) |
+| 13B  | [codellama/CodeLlama-13b-hf](https://huggingface.co/codellama/CodeLlama-13b-hf) | [codellama/CodeLlama-13b-Python-hf](https://huggingface.co/codellama/CodeLlama-13b-Python-hf) | [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf) |
+| 34B  | [codellama/CodeLlama-34b-hf](https://huggingface.co/codellama/CodeLlama-34b-hf) | [codellama/CodeLlama-34b-Python-hf](https://huggingface.co/codellama/CodeLlama-34b-Python-hf) | [codellama/CodeLlama-34b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf) |
+| 70B  | [codellama/CodeLlama-70b-hf](https://huggingface.co/codellama/CodeLlama-70b-hf) | [codellama/CodeLlama-70b-Python-hf](https://huggingface.co/codellama/CodeLlama-70b-Python-hf) | [codellama/CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf) |
 
-This is a finetuned version of Code-Llama-70B specifically optimized for Python tab completion tasks. The model excels at predicting the next tokens in Python code, making it ideal for IDE autocomplete features and code assistance tools.
+## Model Use
 
-## Intended Use
+To use this model, please make sure to install `transformers`. 
 
-- **Primary use case**: Python code tab completion in IDEs and code editors
-- **Secondary uses**: 
-  - Code generation
-  - Code explanation
-  - Python snippet completion
+```bash
+pip install transformers accelerate
+```
 
-## Usage
+Model capabilities:
 
-### Quick Start
+- [x] Code completion.
+- [ ] Infilling.
+- [ ] Instructions / chat.
+- [x] Python specialist.
 
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import torch
+## Model Details
+*Note: Use of this model is governed by the Meta license. Meta developed and publicly released the Code Llama family of large language models (LLMs).
 
-model_id = "emissary-ai/Python-Tab-Completion-CodeLlama-70b"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(
-    model_id,
-    torch_dtype=torch.float16,
-    device_map="auto"
-)
-```
+**Model Developers** Meta
 
-### Example: Complete Python code
+**Variations** Code Llama comes in four model sizes, and three variants:
 
-```python
-prompt = "def calculate_average(numbers):\n    "
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model.generate(**inputs, max_length=100, temperature=0.7)
-completion = tokenizer.decode(outputs[0], skip_special_tokens=True)
-print(completion)
-```
+* Code Llama: base models designed for general code synthesis and understanding
+* Code Llama - Python: designed specifically for Python
+* Code Llama - Instruct: for instruction following and safer deployment
 
-### Limitations
+All variants are available in sizes of 7B, 13B, 34B, and 70B parameters.
 
-- Optimized specifically for Python; performance on other languages may vary
-- Best suited for short to medium-length completions
-- May require significant computational resources due to model size (70B parameters)
+**This repository contains the Python version of the 70B parameters model.**
 
-### Ethical Considerations
+**Input** Models input text only.
 
-- Should not be used as the sole tool for production code without human review
-- May reflect biases present in the training data
-- Generated code should be tested and validated before deployment
+**Output** Models generate text only.
 
-# License
+**Model Architecture** Code Llama is an auto-regressive language model that uses an optimized transformer architecture.
+**Model Architecture** Code Llama is an auto-regressive language model that uses an optimized transformer architecture. It was fine-tuned with up to 16k tokens. This variant **does not** support long context of up to 100k tokens.
 
-This model is subject to the Meta Llama 2 Community License Agreement. By using this model, you agree to the terms of the Llama 2 license.
+**Model Dates** Code Llama and its variants have been trained between January 2023 and January 2024.
 
-# Citation
+**Status** This is a static model trained on an offline dataset. Future versions of Code Llama - Instruct will be released as we improve model safety with community feedback.
 
-If you use this model in your research or applications, please cite:
-```bibtex
-@misc{python-tab-completion-codellama-70b,
-  author = {Emissary AI},
-  title = {Python Tab Completion CodeLlama 70B},
-  year = {2024},
-  publisher = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/emissary-ai/Python-Tab-Completion-CodeLlama-70b}}
-}
-```
-# Contact
-For questions or issues, please open an issue in the Community tab.
+**License** A custom commercial license is available at: [https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
+
+**Research Paper** More information can be found in the paper "[Code Llama: Open Foundation Models for Code](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/)" or its [arXiv page](https://arxiv.org/abs/2308.12950).
+
+## Intended Use
+**Intended Use Cases** Code Llama and its variants are intended for commercial and research use in English and relevant programming languages. The base model Code Llama can be adapted for a variety of code synthesis and understanding tasks, Code Llama - Python is designed specifically to handle the Python programming language, and Code Llama - Instruct is intended to be safer to use for code assistant and generation applications.
+
+**Out-of-Scope Uses** Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English. Use in any other way that is prohibited by the Acceptable Use Policy and Licensing Agreement for Code Llama and its variants.
+
+## Hardware and Software
+**Training Factors** We used custom training libraries. The training and fine-tuning of the released models have been performed Meta’s Research Super Cluster.
+
+**Carbon Footprint** In aggregate, training all 12 Code Llama models required 1400K GPU hours of computation on hardware of type A100-80GB (TDP of 350-400W). Estimated total emissions were 228.55 tCO2eq, 100% of which were offset by Meta’s sustainability program.
+
+## Evaluation Results
+
+See evaluations for the main models and detailed ablations in Section 3 and safety evaluations in Section 4 of the research paper.
+
+
+## Ethical Considerations and Limitations
+
+Code Llama and its variants are a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Code Llama’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate or objectionable responses to user prompts. Therefore, before deploying any applications of Code Llama, developers should perform safety testing and tuning tailored to their specific applications of the model.
+
+Please see the Responsible Use Guide available available at [https://ai.meta.com/llama/responsible-use-guide](https://ai.meta.com/llama/responsible-use-guide).

config.json

@@ -6,13 +6,11 @@
   "attention_dropout": 0.0,
   "bos_token_id": 1,
   "eos_token_id": 2,
-  "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 8192,
   "initializer_range": 0.02,
   "intermediate_size": 28672,
   "max_position_embeddings": 4096,
-  "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 64,
   "num_hidden_layers": 80,

model-00001-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4fc914f0686202109415fe8acbd52592873800c6e3aa8c8f748464f13d0bb1f3
-size 4718922456
+oid sha256:0dc39667e9e9bb99b37e164514e2517c859a21b69083d1e391c95454538b8fc0
+size 4718922480

model-00002-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd8714a02fcab84f418162d065db13cccd737f314cd6264af5a6ece8702c1d37
-size 4664167352
+oid sha256:93cb9a3be35a63540022de4c9e0d19f48310ea491ebd11f077575c0907b523d7
+size 4664167376

model-00003-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42c6245a0d19a35d6be65a8326c52831448d074ed6a7fedf0262ef2e323e3f7a
-size 4999711672
+oid sha256:804d76bf0780390092e0ad15338b40b82221f5a89df019e58c7ef71ddf953433
+size 4999711704

model-00006-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cbe52e66965bca75113dcc123cc58f5316da5c00e03cbff7bc436e08becffd9a
-size 4664167384
+oid sha256:5f325631196d211f66f4b614d7ef7733869da094044732b48399da5f14dc6992
+size 4664167408

model-00007-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:006bfeaff222b529cac7d0e6a915b5a9848932f8c77f27d1473ed4bc8f8a35f4
-size 4664167376
+oid sha256:49e617ff57141a9cd574fb68738d8cc7700d8732f3f793b6e6b5ffd99967f856
+size 4664167408

model-00009-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc1afc067015b19212ac1d73b99028c7c39baa763af38595fe0b3554f4ff6ff1
-size 4966157032
+oid sha256:10339c063a9708cadde61d3a690d1a2b65cbdb66a3af02f762fa6220379e9494
+size 4966157056

model-00010-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed320d184e72cce9838e1c4db01b4be0147aa4fd16bf91b7538171b23674d01c
-size 4664134384
+oid sha256:44cf1bc764a3183a1a30478399dd14810da918dc861f1f3f8ca5722e3051aa5c
+size 4664134408

model-00011-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f7b2fb09972a6553c8e1967d6caa10f7b2b2217c7a916ca3e68ea8e79dcdaa0d
-size 4664167384
+oid sha256:850147b678c3950665c18042ed185022d8c18b9e7706a08f5b56a3e165ea1d08
+size 4664167408

model-00012-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0778a3f85527b9cb3e228cf7591837e451f2bd262b0bc70b2664b6751c63e946
-size 4664167376
+oid sha256:054899a12a20c0014e304b1f69260676d4ee7b6437789d3a06eabd48588ffe0b
+size 4664167408

model-00013-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f24829683f7fbccfeb53f053349e19b7d8fb57eed155c8b713386d8b361646c7
-size 4999711704
+oid sha256:ebf60aa2ee9a142b54d164c207340aa6fc2633e9986d54fe820b3fff7abfc75a
+size 4999711728

model-00014-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0ab4b7eab285245caaca0b39abb636d33fb6e9d05f61b4cf2b0638bbae556cc
-size 4966157032
+oid sha256:99d9ec085297c0e9771261376e128487b7e7d8cb8ff48ca68cd1004d2f99ceba
+size 4966157056

model-00018-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:391419edfb8639479997da77bbcb29d52be7c8fa4d0cd454bb129e4e41a51c89
-size 4999711704
+oid sha256:a5309faee1ab036dfbe8103f4aa8c2dba77988e9a2c5c92fd5f00580f650f486
+size 4999711728

model-00019-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c540ad1ad3859989476660ca36e27f4f218c64fd79f284b8443e549208971ec
-size 4966157032
+oid sha256:140288ba636559cef56179e649253997f8fa72437717b21bc060262bc3416468
+size 4966157056

model-00020-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9b5ef3fcdef762e4cdf719e9bf7b96f43e62e2e93c5cc5c9c96a761814fbacb
-size 4664134384
+oid sha256:a7466b2e9e116445857d71019cef746dbc63176b5568ad600da48a08294cb63e
+size 4664134408

model-00021-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7dceac750e81d0767fb28409668739120ba790213fd09caede4319cdc1ba81f1
-size 4664167384
+oid sha256:d28bcf68247f93c5b70626b917aa0349103feaedd267714b6e4e9bc5ac65b689
+size 4664167408

model-00022-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dd8bcc76452faeb4b236509fc99d1329b990c1bfc4898fbcb3356dbb1cba1b6
-size 4664167376
+oid sha256:3d9419b0dbd0fd6a8784180d8aca472fc922cecefb03083b9f8371a86c708097
+size 4664167408

model-00023-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0cad07c41268fb2bbc61df903ecdaff5eb1647d4195b71d4d99a377a3d872f37
-size 4999711704
+oid sha256:4b0b88e28c69c3f2245d5b68f11832e2161f578881ed7f6a8dfe5f01d53051d3
+size 4999711728

model-00024-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d3bb1e96bce1b7c1b89c51fc9ba7a8ce57ad2edbd2fe0cae2d30b93f2d0d22e
-size 4966157032
+oid sha256:ed64d23c1c38899c2ff00e1d3bf1f73239ca06b7d691878668dbe31cbee115a8
+size 4966157056

model-00025-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6775f3c0015b01f8e91dcbc614cf078a91b4328f292e1acae6565ed3d2bc0bc
-size 4664134384
+oid sha256:b93038be5716e03c6304a7574dd0cb90f65ebb54fb519669c5046ae1249060b5
+size 4664134408

model-00026-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd432e358119b853a72fb923c64ac61f6ed4e8b4a322f90d9d29458ad1a5d43d
-size 4664167384
+oid sha256:cf37ac601e61c9d476cd2edda9b2f95d7a3c89e9d90a6226f455758b891c8dd1
+size 4664167408

model-00027-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eb7c71616906b667a611bc32bd4ad86a945d77f64dcaaf6bc83465a4464e0af5
-size 4664167376
+oid sha256:f561fea5218a2cb49f210748bf766dfe63603912e8950f0a7f5d4ddaa5d0512a
+size 4664167408

model-00028-of-00029.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55895c4b3500bfacf39547577a0149fc7b85f58a7a8f152438c3de9f619ff11b
-size 4999711704
+oid sha256:1001859efc68cdefe27f45f9910af9ff8ea7c864124270e2fcfc6038c22b531b
+size 4999711728

special_tokens_map.json

@@ -13,7 +13,6 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "</s>",
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

tokenizer_config.json

@@ -1,7 +1,6 @@
 {
   "add_bos_token": true,
   "add_eos_token": false,
-  "add_prefix_space": null,
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",
@@ -31,10 +30,9 @@
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
-  "extra_special_tokens": {},
   "legacy": true,
   "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "</s>",
+  "pad_token": null,
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,
   "tokenizer_class": "LlamaTokenizer",