TinyLlama 1.1B 3T Openhermes by Tensoic

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  Autotrain compatible   Dataset:teknium/openhermes   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us

TinyLlama 1.1B 3T Openhermes Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama 1.1B 3T Openhermes (Tensoic/TinyLlama-1.1B-3T-openhermes)
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TinyLlama 1.1B 3T Openhermes Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
The training hyperparameters include a learning rate of 0.0002, train_batch_size of 8, and train on multi-GPU setup with 8 devices.
Training Details 
Data Sources:
teknium/openhermes
Data Volume:
3 trillion tokens
Context Length:
4096
Training Time:
90 days
Hardware Used:
16 A100-40G GPUs
LLM NameTinyLlama 1.1B 3T Openhermes
Repository ๐Ÿค—https://huggingface.co/Tensoic/TinyLlama-1.1B-3T-openhermes 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-08-18
MaintainerTensoic
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the TinyLlama 1.1B 3T Openhermes

Model
Likes
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VRAM
Gguf TINYLLAMA Dqg V1a Q4 K M090 GB

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Note: green Score (e.g. "73.2") means that the model is better than Tensoic/TinyLlama-1.1B-3T-openhermes.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124