NousResearch/Hermes-3-Llama-3.1-8B-GGUF
Nous Researchhuggingface.co/NousResearch/Hermes-3-Llama-3.1-8
Updated 6 min ago · first seen 11 Sept 2026
model_01M294ZKH87THWDCJBR684G9XT
- Parameters
- 8B
- T2 · 42 min ago
- Released
- 5 Aug 2024
- T2 · 42 min ago
- License
- llama3
- T2 · 42 min ago
Specification
- Release date
- 5 Aug 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- License
- llama3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Parameters
- 8B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Languages
- en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Base model
- meta-llama/Meta-Llama-3.1-8B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Quantization format
- gguf
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Hugging Face repo
- NousResearch/Hermes-3-Llama-3.1-8B-GGUF
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads
- 29,067
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
- Likes
- 196
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Is quantized
- Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
- Last modified
- 2024-08-23T01:22:33+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads all time
- 1,426,777
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
- Tags
- gguf, Llama-3, instruct, finetune, chatml, gpt4, synthetic data, distillation, function calling, json mode, axolotl, roleplaying, chat, en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min 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
16
Source tiers
T216
Freshest observation
6 min ago
Conflicts
None
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
- Languages
- en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 42 min agomedium
No benchmark results recorded
Current prices
No current prices recorded
Price history
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 |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 5.1 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 5.1 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 5.1 GB | Yes |
| Apple M2 Ultra | 4bit | — | 5.1 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 5.1 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 5.1 GB | Yes |
| Apple M1 Ultra | 4bit | — | 5.1 GB | Yes |
| Apple M3 Max | 4bit | — | 5.1 GB | Yes |
| Apple M4 Max | 4bit | — | 5.1 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 5.1 GB | Yes |
| Apple M2 Max | 4bit | — | 5.1 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 5.1 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 5.1 GB | Yes |
| Apple M1 Max | 4bit | — | 5.1 GB | Yes |
| Apple M4 Pro | 4bit | — | 5.1 GB | Yes |
| Apple M3 Pro | 4bit | — | 5.1 GB | Yes |
| Apple M1 Pro | 4bit | — | 5.1 GB | Yes |
| Apple M2 Pro | 4bit | — | 5.1 GB | Yes |
| Apple M4 | 4bit | — | 5.1 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 5.1 GB | Yes |
| Apple M2 | 4bit | — | 5.1 GB | Yes |
| Apple M3 | 4bit | — | 5.1 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 5.1 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 5.1 GB | Yes |
| Apple M1 | 4bit | — | 5.1 GB | Yes |
Ancestors 2
- Llama 3.1 8B8.03B
- Meta-Llama-3.1-8BMeta AI
This model
NousResearch/Hermes-3-Llama-3.1-8B-GGUF
8B params
Quantizations 0
None recorded.
Descendants 0
None recorded.
Papers 1
- arXiv:2408.11857Active35
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 · Tags
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 →
NousResearch/Hermes-3-Llama-3.1-8B-GGUF: base model changed from ["meta-llama/Llama-3.1-8B", "meta-llama/Meta-Llama-3.1-8B"] to ["meta-llama/Meta-Llama-3.1-8B"]
Base modelmeta-llama/Llama-3.1-8B, meta-llama/Meta-Llama-3.1-8B→meta-llama/Meta-Llama-3.1-8BhuggingfaceNousResearch/Hermes-3-Llama-3.1-8B-GGUF: parameter count changed from 8030261312 to 8000000000
Parameters8.03B→8BhuggingfaceNew model: NousResearch/Hermes-3-Llama-3.1-8B-GGUF (Nous Research)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B-GGUF/raw/main/README.md | model_card | T2· Quality secondary | 5 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B-GGUF | model_page | T2· Quality secondary | 39 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=NousResearch&p=0&sort=downloads | listing | T2· Quality secondary | 1 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.