mesolitica/llama2-embedding-1b-8k

feature-extraction model by mesolitica

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Trained on truncated 8k context length, but infer able to scale up…

mesolitica/llama2-embedding-1b-8k on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T20:19:27.975Z

Inside the original model card — Document outline
  1. 1B 32768 context length Llama2 on Malaysian text embedding task
  2. how-to

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Model overview

mesolitica/llama2-embedding-1b-8k is a feature-extraction model repository published by mesolitica on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
feature-extraction
Library
transformers
Recent downloads (30 days)
305,763
Cumulative likes
3
Hugging Face trending score
0
Reported safetensors parameters
946,902,528
Architecture
LlamaModelEmbedding
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2023-10-05T23:51:41.000Z
Last modified
2023-10-10T22:43:18.000Z

Compatibility and lineage

Reported languages: ms

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.

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