Text Generation
Safetensors
English
llama
shining-valiant
shining-valiant-2
valiant
valiant-labs
llama-3.1
llama-3.1-instruct
llama-3.1-instruct-8b
llama-3
llama-3-instruct
llama-3-instruct-8b
8b
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct
Eval Results
Delete .ipynb_checkpoints
Browse files
.ipynb_checkpoints/README-checkpoint.md
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---
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- shining-valiant
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- shining-valiant-2
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- valiant
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- valiant-labs
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- llama
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- llama-3.1
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- llama-3.1-instruct
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- llama-3.1-instruct-8b
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- llama-3
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- llama-3-instruct
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- llama-3-instruct-8b
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- 8b
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- conversational
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- chat
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- instruct
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model_type: llama
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license: llama3.1
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---
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Shining Valiant 2 is a chat model built on Llama 3.1 8b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
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- Finetuned on [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) for best available general performance
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- Trained on our data, focused on science, engineering, technical knowledge, and structured reasoning
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## Version
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This is the **2024-08-06** release of Shining Valiant 2 for Llama 3.1 8b.
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Our newest dataset improves specialist knowledge and response consistency.
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Help us and recommend Shining Valiant 2 to your friends!
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## Prompting Guide
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Shining Valiant 2 uses the [Llama 3.1 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) prompt format. The example script below can be used as a starting point for general chat:
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import transformers
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import torch
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model_id = "ValiantLabs/Llama3.1-8B-ShiningValiant2"
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pipeline = transformers.pipeline(
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device_map="auto",
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)
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messages = [
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{"role": "system", "content": "You are Shining Valiant, a highly capable chat AI."},
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{"role": "user", "content": "Describe the role of transformation matrices in 3D graphics."}
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]
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outputs = pipeline(
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messages,
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max_new_tokens=1024,
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)
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print(outputs[0]["generated_text"][-1])
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## The Model
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Shining Valiant 2 is built on top of Llama 3.1 8b Instruct.
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The current version of Shining Valiant 2 is trained mostly on our private Shining Valiant data, supplemented by [LDJnr/Pure-Dove](https://huggingface.co/datasets/LDJnr/Pure-Dove) for response flexibility.
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Our private data adds specialist knowledge and Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! Magical.
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Shining Valiant 2 is created by [Valiant Labs.](http://valiantlabs.ca/)
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[Check out our HuggingFace page for Fireplace 2 and our other models!](https://huggingface.co/ValiantLabs)
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[Follow us on X for updates on our models!](https://twitter.com/valiant_labs)
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We care about open source.
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For everyone to use.
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We encourage others to finetune further from our models.
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.ipynb_checkpoints/config-checkpoint.json
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{
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"_name_or_path": "ValiantLabs/Llama3.1-8B-ShiningValiant2",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.43.4",
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"use_cache": true,
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"vocab_size": 128256
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}
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