Rezoom Llama3.1 8B 4bit B16 Base is an open-source language model by ninky0. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.
4bit En Endpoints compatible Feature-extraction Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth
Model Card on HF 🤗: https://huggingface.co/ninky0/rezoom-llama3.1-8b-4bit-b16-base
Rezoom Llama3.1 8B 4bit B16 Base Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Rezoom Llama3.1 8B 4bit B16 Base Parameters and Internals
| LLM Name | Rezoom Llama3.1 8B 4bit B16 Base |
| Repository 🤗 | https://huggingface.co/ninky0/rezoom-llama3.1-8b-4bit-b16-base |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-09-23 |
| Maintainer | ninky0 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaModel |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Rezoom Llama3.1 8B 4bit B16 Base
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...enut Llama 3.1 8B 0.8 Instruct | 128K / 15 GB | 5 | 0 |
Rank the Rezoom Llama3.1 8B 4bit B16 Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b