Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,109 +0,0 @@
----
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- shining-valiant
-- shining-valiant-2
-- valiant
-- valiant-labs
-- llama
-- llama-3.2
-- llama-3.2-instruct
-- llama-3.2-instruct-3b
-- llama-3
-- llama-3-instruct
-- llama-3-instruct-3b
-- 3b
-- science
-- physics
-- biology
-- chemistry
-- compsci
-- computer-science
-- engineering
-- technical
-- conversational
-- chat
-- instruct
-base_model: meta-llama/Llama-3.2-3B-Instruct
-datasets:
-- sequelbox/Celestia
-- sequelbox/Supernova
-model_type: llama
-license: llama3.2
----
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/EXX7TKbB-R6arxww2mk0R.jpeg)
-
-
-Shining Valiant 2 is a chat model built on Llama 3.2 3b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
-  - Finetuned on [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) for best available general performance
-  - Trained on a variety of high quality data; focused on science, engineering, technical knowledge, and structured reasoning
-
-Shining Valiant 2 is also available for [Llama 3.1 8b.](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2)
-
-
-## Version
-
-This is the **2024-09-27** release of Shining Valiant 2 for Llama 3.2 3b.
-
-We've improved and open-sourced our new baseline [science-instruct dataset](https://huggingface.co/datasets/sequelbox/Celestia). This release features improvements in physics, chemistry, biology, and computer science.
-
-Future upgrades will continue to expand Shining Valiant's technical knowledge base.
-
-Help us and recommend Shining Valiant 2 to your friends!
-
-
-## Prompting Guide
-Shining Valiant 2 uses the [Llama 3.2 Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) prompt format. The example script below can be used as a starting point for general chat:
-
-```python
-import transformers
-import torch
-
-model_id = "ValiantLabs/Llama3.2-3B-ShiningValiant2"
-
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model_id,
-    model_kwargs={"torch_dtype": torch.bfloat16},
-    device_map="auto",
-)
-
-messages = [
-    {"role": "system", "content": "You are an AI assistant."},
-    {"role": "user", "content": "Describe the use of chiral auxiliaries in organic synthesis."}
-]
-
-outputs = pipeline(
-    messages,
-    max_new_tokens=2048,
-)
-
-print(outputs[0]["generated_text"][-1])
-```
-
-
-## The Model
-Shining Valiant 2 is built on top of Llama 3.2 3b Instruct.
-
-The current version of Shining Valiant 2 is trained on technical knowledge using [sequelbox/Celestia](https://huggingface.co/datasets/sequelbox/Celestia) and general chat capability using [sequelbox/Supernova.](https://huggingface.co/datasets/sequelbox/Supernova)
-
-Our private data adds specialist knowledge and Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! Magical. (As a general note: we're hoping to replace and open-source this part of Shining Valiant's dataset with synthetic data soon!)
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
-
-
-Shining Valiant 2 is created by [Valiant Labs.](http://valiantlabs.ca/)
-
-[Check out our HuggingFace page for our open-source Build Tools models, including the newest version of code-specialist Enigma!](https://huggingface.co/ValiantLabs)
-
-[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)
-
-We care about open source.
-For everyone to use.
-
-We encourage others to finetune further from our models.

.ipynb_checkpoints/config-checkpoint.json

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-{
-  "_name_or_path": "ValiantLabs/Llama3.2-3B-ShiningValiant2",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 3072,
-  "initializer_range": 0.02,
-  "intermediate_size": 8192,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 24,
-  "num_hidden_layers": 28,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 32.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": true,
-  "torch_dtype": "float32",
-  "transformers_version": "4.45.1",
-  "use_cache": true,
-  "vocab_size": 128256
-}

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