Is it possible to run Llama 3 on our own hardware for internal document search, and what hardware specs do we need to buy?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it possible to run Llama 3 on our own hardware for internal document search, and what hardware specs do we need to buy?
3 real searches · 1 real-search pass
Meta Llama 3 official model cards 8B 70B hardware memory requirements inference quantizationGoogle ↗
OBSERVEDReason
Ollama hardware requirements GPU VRAM Llama 3 8B 70B quantizedGoogle ↗
OBSERVEDInstruction
NVIDIA RTX 5090 32GB specifications official price workstation GPUGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Meta Llama 3 official model cards 8B 70B hardware memory requirements inference quantization Google ↗
Ollama hardware requirements GPU VRAM Llama 3 8B 70B quantized Google ↗
NVIDIA RTX 5090 32GB specifications official price workstation GPU Google ↗
- GeForce RTX 5090 Graphics Cards · nvidia.com
- Autoscaling self-hosted Llama models · dev.meta.ai
- Llama 3.1 - 405B, 70B & 8B with multilinguality and long context · huggingface.co
- Open-source AI Models for Any Application · dev.meta.ai
- GitHub - meta-llama/llama-models: Utilities intended for use with Llama models. · github.com
- Official website · ollama.com
- Official website · openwebui.com
- Official website · qdrant.tech
- Official website · llamaindex.ai
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Meta Llama 3 official model cards 8B 70B hardware memory requirements inference quantization OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Ollama hardware requirements GPU VRAM Llama 3 8B 70B quantized OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
NVIDIA RTX 5090 32GB specifications official price workstation GPU OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |