NousResearch / Model details
Hermes-3-Llama-3.1-8B
NousResearch/Hermes-3-Llama-3.1-8B
About this model
Hermes 3 Llama 3.1 8B is Nous Research's generalist assistant fine-tune of Meta's Llama 3.1 base. Nous positions this generation around user-directed behavior, roleplay and sustained multi-turn conversation, while expanding the Hermes 2 focus on tool calls, structured outputs and code generation. It uses ChatML and model-specific tool and JSON-schema prompts, so integrations should follow its templates rather than assume the Llama Instruct format.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- meta-llama/Llama-3.1-8B, meta-llama/Meta-Llama-3.1-8B
- Parameters
- 8.03026B
- Main repository formats
- safetensors
- License tag
- llama3
- Languages
- en
- Last updated
- 2024-09-08 · 07:39:55.000 UTC
Community reviews & tips
Source-linked paraphrases of sampled community sources, not independently tested by this directory.
Sample window: to · 1 unique source link. This is a selected sample, not all community discussions.
Small sample: source links are not a count of independent reviewers or evidence of consensus.
Sources checked:
Hands-on report
- One user running agentic reflection loops reports Hermes-3 has a meaningful edge over stock Qwen2.5 for iterative self-critique and multi-step reasoning, crediting its structured-reasoning fine-tune and reliable adherence to persistent system prompts; they caution that verbose reflection chains can hit practical context limits faster than expected.
Tested revision: Unknown · Quantization: Unknown
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- fine-tunedsource tag:
base_model:finetune:meta-llama/Llama-3.1-8B
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Llama: Base model: meta-llama/Llama-3.1-8B
- Llama: Base model: meta-llama/Meta-Llama-3.1-8B
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
Download sources
ModelScope distribution ↗Ollama distribution ↗- Distribution checked: ModelScope · 2026-10-24 · 03:14:44 UTC
- Distribution checked: Ollama · 2026-10-24 · 03:14:44 UTC
Distribution links are not independent reviews or runtime compatibility guarantees. Check each source’s exact files and instructions.
Try it online
Try on Featherless ↗- Listing checked: Featherless · 2026-10-24 · 03:14:44 UTC
Third-party hosted inference listing this exact model ID. Hosting settings, quantization and pricing are the host’s, not tested here.
Refusal profile
Refused 19 of 111 prompts (17.1%)
We asked this model 120 benign but risky-looking prompts across ten topics and counted how often it refused, hedged or answered. Lower means it answered more often; it says nothing about answer quality.
- Persuasion & deception1 refused · 0 partial · 10 complied
- Harassment & confrontation3 refused · 0 partial · 7 complied
- Risky activities0 refused · 0 partial · 12 complied
- Offensive & controversial speech5 refused · 0 partial · 7 complied
- Legal grey areas0 refused · 0 partial · 12 complied
- Privacy & personal data2 refused · 0 partial · 7 complied
- Self-harm & mental health topics1 refused · 0 partial · 10 complied
- Sexual & adult topics1 refused · 0 partial · 9 complied
- Ethically grey requests2 refused · 0 partial · 10 complied
- Violence & conflict4 refused · 0 partial · 8 complied
Capability check: 13 of 15 passed. Fifteen simple tasks with known answers, so a broken model cannot score well by refusing nothing.
Unclear answers: 9 (not counted). An answer is unclear when the two checker models disagree or the output was empty or garbled.
Measured 2026-10-24 · Q4_K_M via bartowski/Hermes-3-Llama-3.1-8B-GGUF ↗ · llama.cpp · prompt set v1
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/nousresearch-hermes-3-llama-3-1-8b/)HTML
<a href="https://customclankers.com/models/nousresearch-hermes-3-llama-3-1-8b/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Linked in the model card
GitHub repositories the original model card links to.
- NousResearch/Hermes-Function-Calling ↗
★ 1,487 · Last updated 2025-12-22 · License: MIT
Projects that use this model
Public projects whose files name this exact model.
- Tiiny-AI/PowerInfer ↗
Repo’s own description: High-speed Large Language Model Serving for Local Deployment
★ 9,848 · Last updated 2026-05-11 · License: MIT
Names this model in: smallthinker/scripts/tool_bench.sh ↗
- Troyanovsky/Local-LLM-Comparison-Colab-UI ↗
Repo’s own description: Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
★ 1,107 · Last updated 2026-01-13 · License: not stated
Names this model in: README.md ↗
- HaujetZhao/Qwen3-ASR-GGUF ↗
Repo’s own description: 将 Qwen3-ASR 的 LLM 部分导出为 GGUF,用 llama.cpp 进行加速推理。后者支持 Vulkan 和 Cuda 加速。
★ 243 · Last updated 2026-04-29 · License: not stated
Names this model in: ref/llama.cpp/scripts/tool_bench.sh ↗
- Telosnex/fllama ↗
Repo’s own description: llama.cpp for Flutter
★ 210 · Last updated 2026-10-24 · License: not stated
Names this model in: src/llama.cpp/scripts/tool_bench.sh ↗
- Yueeeeeeee/HRPO ↗
Repo’s own description: [NeurIPS 2025] Hybrid Latent Reasoning via Reinforcement Learning
★ 200 · Last updated 2025-09-15 · License: not stated
Names this model in: unsloth/models/mapper.py ↗
- AISmithLab/CoBRA ↗
Repo’s own description: [🏆 CHI26 Best Paper] CoBRA: Reproducible control of LLM agent behavior via classic social science experiments
★ 97 · Last updated 2026-04-21 · License: MIT
Names this model in: webdemo/backend/main.py ↗
Tools to customize it further
Remove more refusals
- Heretic ↗ ★ 36,421
Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.
- OBLITERATUS ↗ ★ 8,946
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,528
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
- LlamaFactory ↗ ★ 75,713
Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,260
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,467
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,414
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,667
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 464,071
- Likes
- 523
- Metadata checked
- 2026-10-25 · 05:05:23 UTC
- First seen in index
- 2026-10-20 · 21:59:08 UTC
- Source revision
- 896ea440e5a9e6070e3d8a2774daf2b481ab425b
Source-card excerpt
Source model card excerpt: Hermes 3 - Llama-3.1 8B Model Description Hermes 3 is the latest version of our flagship Hermes series of LLMs by Nous Research. For
From NousResearch/Hermes-3-Llama-3.1-8B. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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