Llama 3.2 1B Instruct
Meta AIhuggingface.co/meta-llama/Llama-3.2-1B-Instruct
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Updated 13 min ago · first seen 11 Sept 2026
model_01M294WWNFWCDT508TQ20HTV9D
- Parameters
- 1.24B
- T2 · 2 h ago
- Context
- 60K tokens
- T2 · 2 h ago
- Released
- 25 Sept 2024
- T2 · 28 min ago
- License
- llama3.2
- T2 · 1 h ago
- Knowledge cutoff
- Dec 2023
- T2 · 2 h ago
Specification
- Release date
- 25 Sept 2024
Source:OpenRouter public model & pricing listingT2observed 28 min agomedium
- Openness
- restricted
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License
- llama3.2
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Architecture
- LlamaForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Parameters
- 1.24B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Context window
- 60K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Max output
- 54K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Dec 2023
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Tokenizer
- Llama3
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- File size
- 2.5 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Hugging Face repo
- meta-llama/Llama-3.2-1B-Instruct
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Downloads
- 6,258,911
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 min agomedium
- Likes
- 1,626
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 min agomedium
- Gated
- manual
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Hf inference providers
- featherless-ai, novita
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Instruct type
- llama3
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Last modified
- 2024-10-24T15:07:51+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads all time
- 101,294,680
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model type
- llama
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Openrouter id
- meta-llama/llama-3.2-1b-instruct
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, seed, stop, temperature, top_k, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tags
- transformers, safetensors, llama, text-generation, facebook, meta, pytorch, llama-3, en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Weights dtype
- BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
33
Source tiers
T233
Freshest observation
13 min ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
No
OpenRouter public model & pricing listing · T2
Structured output
No
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 60K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Max output
- 54K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Knowledge cutoff
- Dec 2023
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Tokenizer
- Llama3
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRoutermeta-llama/llama-3.2-1b-instruct | $0.027 | $0.201 | — | — | 60K | 28 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| NVIDIA DGX B200 | 4bit | 1,440 GB | 1.2 GB | Yes |
| Apple M3 Ultra | 4bit | — | 1.2 GB | Yes |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 1.2 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 1.2 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 1.2 GB | Yes |
| Apple M2 Ultra | 4bit | — | 1.2 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 1.2 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 1.2 GB | Yes |
| NVIDIA H200 NVL | 4bit | 141 GB | 1.2 GB | Yes |
| Apple M1 Ultra | 4bit | — | 1.2 GB | Yes |
| Apple M3 Max | 4bit | — | 1.2 GB | Yes |
| Apple M4 Max | 4bit | — | 1.2 GB | Yes |
| Mac Studio (Apple M5 Max) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5 Max) | 4bit | — | 1.2 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 1.2 GB | Yes |
| Apple M2 Max | 4bit | — | 1.2 GB | Yes |
| NVIDIA H100 NVL | 4bit | 94 GB | 1.2 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 1.2 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 1.2 GB | Yes |
| Apple M1 Max | 4bit | — | 1.2 GB | Yes |
| Apple M4 Pro | 4bit | — | 1.2 GB | Yes |
| Mac mini (Apple M5 Pro) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 1.2 GB | Yes |
| Apple M3 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M1 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M2 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M4 | 4bit | — | 1.2 GB | Yes |
| iMac (Apple M4) | 4bit | — | 1.2 GB | Yes |
| Mac mini (Apple M6) | 4bit | — | 1.2 GB | Yes |
| MacBook Air (Apple M5) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5) | 4bit | — | 1.2 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 1.2 GB | Yes |
| Apple M2 | 4bit | — | 1.2 GB | Yes |
| Apple M3 | 4bit | — | 1.2 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 1.2 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 1.2 GB | Yes |
| Apple M1 | 4bit | — | 1.2 GB | Yes |
No lineage recorded
Papers 2
- arXiv:2204.05149Active35
- arXiv:2405.16406Active35
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Last modified
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2024-10-24T15:07:51+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Llama 3.2 1B Instruct: release date changed from 2024-09-18 to 2024-09-25
Release date18 Sept 2024→25 Sept 2024openrouterLlama 3.2 1B Instruct: release date changed from 2024-09-25 to 2024-09-18
Release date25 Sept 2024→18 Sept 2024huggingfaceOpenRouter lists Llama 3.2 1B Instruct at $0.027 in / $0.201 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=meta-llama&p=0&sort=downloads | listing | T2· Quality secondary | 13 min ago | 3 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 28 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/meta-llama/Llama-3.2-1B-Instruct | model_page | T2· Quality secondary | 1 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.