shining valiant 1.4 - the friendship upgrade!

.ipynb_checkpoints/README-checkpoint.md

@@ -1,68 +0,0 @@
----
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- shining-valiant
-- valiant
-- valiant-labs
-- llama
-- llama-2
-- llama-2-chat
-- 70b
-model_type: llama
-license: llama2
----
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/5rUJPhu_6LyDvSQogSVhk.jpeg)
-
-
-Shining Valiant is a chat model built on the Llama 2 architecture, finetuned on our data for insight, creativity, passion, and friendliness.
-  - Uses the llama-2-70b-chat model, with safetensors
-  - Finetuned on multiple runs across private and public data
-  - Data focused on knowledge, enthusiasm, and structured reasoning
-  - **Our new release features greatly expanded personality capability**, bringing a more immersive chat experience
-
-## Version
-
-The current version is **1.4!** We've greatly expanded our personality dataset and fixed some bugs to deliver our strongest real-chat experience so far.
-
-(We're also exploring **new models and architectures**, to deliver helpful open source capabilities for users and creators!)
-
-Previous versions remain available in the repository. New models will be released for everyone once our team's training and validation process is complete.
-
-## Evaluation
-
-Version 1.4 is awaiting results from the Open LLM leaderboard.
-
-## Prompting Guide
-Shining Valiant uses the same prompt format as Llama 2 Chat - feel free to use your existing prompts and scripts!
-A few examples of different formats:
-
-1. [INST] Good morning! Can you let me know how to parse a text file and turn the semicolons into commas? [/INST]
-
-2. [INST] (You are an intelligent, helpful AI assistant.) Hello, can you write me a thank you letter? [/INST]
-
-3. [INST] << SYS >>You are an intelligent, helpful AI assistant.<< /SYS >>Deep dive about a country with interesting history: [/INST]
-
-## The Model
-Shining Valiant is built on top of Spell Blade, which uses Llama 2's 70b parameter architecture and features upgraded general and chat capability.
-
-Our private data focuses primarily on applying Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! 
-
-With this release, the personality component of our Shining Valiant dataset has been greatly improved. We're excited to use it in future releases of this model and others.
-
-
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
-
-
-Shining Valiant is created by [Valiant Labs.](http://valiantlabs.ca/)
-
-[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/ShiningValiant",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "hidden_act": "silu",
-  "hidden_size": 8192,
-  "initializer_range": 0.02,
-  "intermediate_size": 28672,
-  "max_position_embeddings": 4096,
-  "model_type": "llama",
-  "num_attention_heads": 64,
-  "num_hidden_layers": 80,
-  "num_key_value_heads": 8,
-  "pad_token_id": 0,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 10000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
-  "use_cache": false,
-  "vocab_size": 32000
-}

.ipynb_checkpoints/generation_config-checkpoint.json

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-{
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-  "eos_token_id": 2,
-  "pad_token_id": 0,
-  "transformers_version": "4.36.2",
-  "use_cache": false
-}

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-{
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-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-  "unk_token": {
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
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.ipynb_checkpoints/tokenizer_config-checkpoint.json

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-{
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-  "added_tokens_decoder": {
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-      "special": true
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-  "bos_token": "<s>",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "</s>",
-  "legacy": false,
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "</s>",
-  "sp_model_kwargs": {},
-  "tokenizer_class": "LlamaTokenizer",
-  "unk_token": "<unk>",
-  "use_default_system_prompt": true
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