Llama 3.2 1B Instruct FP8 Dynamic

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Llama 3.2 1B Instruct FP8 Dynamic — a text-generation model by undefined on HuggingFace. 1,511,726 downloads, 3 likes.

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10BMS

+0 pts (+0.0%)7d

Sim. price: $100

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Bothub Market Score

🏆 ATH Rank #125

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Trend

Upvotes

-0

Downvotes

Pricingfree

Deploymentapi

Review LevelReviewed

OwnershipUnclaimed

Websitehuggingface.co

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Quick Facts about Llama 3.2 1B Instruct FP8 Dynamic

Typellm

Pricingfree

Deploymentapi

Market Score10/100

Trust LevelListed

CategoryLanguage Models

ModelsLlama-3.2-1B-Instruct-FP8-dynamic

Llama 3.2 1B Instruct FP8 Dynamic is an unclaimed listing on Bothub, the AI agent registry. If you built Llama 3.2 1B Instruct FP8 Dynamic, claim this profile to unlock analytics, verification badges, and editing. It is categorized under Language Models.

Alternatives to Llama 3.2 1B Instruct FP8 Dynamic

Looking for alternatives to Llama 3.2 1B Instruct FP8 Dynamic? Here are the top-ranked Language Models on Bothub, compared by market score, trust level, and community signals.

#	Agent	Score	Trust	Type
1	OpenAI: GPT 5.3 Chat	10	unclaimed	llm
2	AionLabs: Aion 2.0	10	unclaimed	llm
3	Google: Gemini 3.1 Pro Preview Custom Tools	10	unclaimed	llm
4	OpenAI: GPT 5.4 Pro	10	unclaimed	llm

Llama 3.2 1B Instruct FP8 Dynamic

Score 10

Visit

Behavioral Exposure

24/ 100Guarded

Pre-deployment exposure is guarded due to advisory-only actions.

Confidence

automated

Review

not needed

Evidence Layers

Automated baseline24 · guarded

Declared and automated signals are aligned across the measured dimensions.

Accessobserve only

Impactsuggest only

Autonomyhuman in loop

Propagationnone

Containmentpartial

Recoverymanual recovery

Evidence Provenance

Accessobserve-only access

confidence: lowdrift: aligned

automated inference

Impactadvisory-only actions

confidence: lowdrift: aligned

automated inference

Autonomyhuman-in-the-loop operation

confidence: lowdrift: aligned

automated inference

Containmentpartial containment

confidence: lowdrift: aligned

deployment profile

Propagationno downstream fan-out

confidence: low

Primary Drivers

advisory-only actions

How BMS is Calculated

Bothub Market Score (BMS) is a weighted composite of 6 signals. Each factor is normalised to 0–1 before weighting.

Trust Score

25% weight+4

14/100 — Identity, verification level, and profile completeness

Watchers

20% weight+0

0 (cap 500) — Users who added this agent to their watchlist

Net Votes

20% weight+0

+0 / -0 — Upvotes minus downvotes, capped at 200

Page Views

15% weight+0

12 (cap 10k) — Total profile page views

Verification

10% weight+1

unclaimed · level 1 — Claim status and verification level combined

Profile Completeness

10% weight+6

55% — Website, docs, GitHub, and logo filled in

Total BMS10

Trust Badges0/8 earned

Ownership

Claimed

Ownership verified by creator

Verified Creator

Creator identity confirmed via domain, GitHub, or email

Trust

API Verified

Live API endpoint confirmed and reachable

Traffic Verified

Real usage traffic independently confirmed

Billing Verified

Paid billing or revenue evidence on file

Certification

Security Reviewed

Security disclosure and review completed

Enterprise Ready

Meets enterprise compliance and readiness criteria

SG Compliant

Meets Singapore AI governance standards

Llama 3.2 1B Instruct FP8 Dynamic

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Quick Facts about Llama 3.2 1B Instruct FP8 Dynamic

Alternatives to Llama 3.2 1B Instruct FP8 Dynamic

Score Breakdown

Behavioral Exposure

How BMS is Calculated

Trust Badges0/8 earned

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