LLM EXPLORER 59,420 MODELS INDEXED

Human Like LLama3 8B Instruct by HumanLLMs

By HumanLLMs · 73 downloads

Human Like LLama3 8B Instruct is an open-source language model by HumanLLMs. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2106.09685   Arxiv:2305.18290   Arxiv:2501.05032   Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:humanllms/human-like-d...   Deploy:azure   Dpo   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Trl

Human Like LLama3 8B Instruct Parameters and Internals

Additional Notes 
Model is fine-tuned from the base Meta-Llama-3-8B and evaluated on multiple text-generation benchmarks.
Training Details 
Context Length:
8192
LLM NameHuman Like LLama3 8B Instruct
Repository πŸ€—https://huggingface.co/HumanLLMs/Human-Like-LLama3-8B-Instruct 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-08-07
MaintainerHumanLLMs
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Human Like LLama3 8B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB1135125
UltraLong Thinking4192K / 16.1 GB23
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB12418
Cthulhu 8B V1.41048K / 16.1 GB1010
...raLong 1M Instruct Abliterated1048K / 32.1 GB49
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB70259
Zero Llama 3.1 8B Beta61048K / 16.1 GB71
Note: green Score (e.g. "73.2") means that the model is better than HumanLLMs/Human-Like-LLama3-8B-Instruct.