hermes 13b Hermes-13B is an advanced AI language model created by NousResearch. This model is built on the LLaMA architecture, which is known for its effectiveness in understanding and . First of all, the pros and cons of an Inquisitor in PvP. Pros: Large AOE skills such as Lighting Storm and Consecration. Despite nerfs, still, have a few skills with high electrocution rates such as Awakened Avenging Wave and Lighting Bolt EX. High damage dealt by Awakening Avenging Wave.
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OpenHermes-13B is a transformer model trained on 242,000 entries of GPT-4 generated data from various open datasets. It can generate text for different tasks and domains, and achieves high performance on several .This is a model card for NousResearch's Nous-Hermes-13B, a large-scale language model based on GPT-3. It is quantised to 4 bits using GPTQ-for-LLaMa and can be used with text-generation-webui or AutoGPTQ.Powered by open-source model Chronos-Hermes-13b.Hermes-13B is an advanced AI language model created by NousResearch. This model is built on the LLaMA architecture, which is known for its effectiveness in understanding and .
A user shares their positive experience with Nous Hermes 13b, a large language model based on Llama and GPT-4, and compares it with other models. See the comments, links, and examples of Nous Hermes 13b in action. Nous-Hermes-13b is a text-to-text model that can generate coherent and informative responses to natural language prompts. It was fine-tuned on over 300,000 .
OpenHermes 13B is a natural language processing tool based on the Hermes dataset, which is now open source. It has 13 billion parameters and can generate human-like text with fine-tuning.
Hermes 13B is a fine-tuned model that supports complex tasks with a 4096 sequence length, trained on synthetic GPT-4 outputs. Learn about its technical specifications, benchmark performance, key features, practical .I'd say it's among the better models and worth a try - but it hasn't been able to replace the original Nous Hermes Llama2 for me. Honestly I've enjoyed straight chronos v2 and airochronos v2 .Example: ollama run nous-hermes:13b-q4_0. By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 .Hermes 3 contains advanced long-term context retention and multi-turn conversation capability, complex roleplaying and internal monologue abilities, and enhanced agentic function-calling. Our training data aggressively encourages the model to follow the system and instruction prompts exactly and in an adaptive manner. Hermes 3 was created by fine-tuning Llama 3.1 8B, 70B .
chronos-hermes-13b-v2 (chronos-13b-v2 + Nous-Hermes-Llama2-13b) 75/25 merge. This offers the imaginative writing style of chronos while still retaining coherency and being capable. Outputs are long and utilize exceptional prose. .Nous-Hermes-Llama2-13b is a state-of-the-art language model fine-tuned on over 300,000 instructions. This model was fine-tuned by Nous Research, with Teknium and Emozilla leading the fine tuning process and dataset curation, Redmond AI sponsoring the .OpenHermes 13B is a groundbreaking language model developed through fine-tuning on the Hermes dataset, which is now fully open source. With 13 billion parameters, OpenHermes represents a significant leap forward in natural language processing technology. Nous Research’s Nous Hermes Llama 2 13B. Llama 2 13B model fine-tuned on over 300,000 instructions. This model stands out for its long responses, lower hallucination rate, and absence of OpenAI censorship mechanisms; Try it: ollama run nous-hermes-llama2; Eric Hartford’s Wizard Vicuna 13B uncensored. Llama 1 13B model fine-tuned to remove .
Example: ollama run nous-hermes:13b-q4_0. By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the .
(chronos-13b + Nous-Hermes-13b) 75/25 merge. This has the aspects of chronos's nature to produce long, descriptive outputs. But with additional coherency and an ability to better obey instructions. Resulting in this model having a great ability to produce evocative storywriting and follow a narrative. Hugging Face. But it fell short of my expectations, like all models with higher context , they seem to get much dumber and less coherent. Reply reply The Nous-Hermes-13b series represents a balanced approach to fine-tuning and dataset curation in language models. LimaRP, LLongMA, and SuperHOT. A subset of the Nous-Hermes models were fine tuned for role play with LIMARP LoRA. This smaller dataset with high quality examples aims to yield strong performance. This contrasts with typical .Original model card: Austism's Chronos Hermes 13B v2 chronos-hermes-13b-v2 (chronos-13b-v2 + Nous-Hermes-Llama2-13b) 75/25 merge. This offers the imaginative writing style of chronos while still retaining coherency and being capable. Outputs are long and utilize exceptional prose. Supports a maxium context length of 4096. GPTQ Quantized Weights
A state-of-the-art language model fine-tuned on over 300k instructions by Nous Research, with Teknium and Emozilla leading the fine tuning process.. Run Hermes 13B with APIOriginal model card: Austism's Chronos Hermes 13B (chronos-13b + Nous-Hermes-13b) 75/25 merge. This has the aspects of chronos's nature to produce long, descriptive outputs. But with additional coherency and an ability to better obey instructions. Resulting in this model having a great ability to produce evocative storywriting and follow a . Hermes 13B, or Nous-Hermes-Llama2–13b is a sophisticated language model developed by Nous Research, with significant contributions from Teknium and Emozilla in fine-tuning and dataset curation. This model has been fine-tuned on an extensive dataset of over 300,000 instructions, aiming to enhance capabilities beyond its predecessor, Hermes on . Nous-Hermes-13B-GPTQ (using oobabooga/text-generation-webui) : 10; 13B-HyperMantis_GPTQ (using oobabooga/text-generation-webui) : 9; Selfee-13B-GPTQ (using oobabooga/text-generation-webui) : 10; Question 16: Given the following list of words. Categorize the words into 5 categories by similarity. Give each category a name.
Nous Hermes 13b is a cutting-edge language model that has been fine-tuned on an extensive dataset of over 300,000 instructions, resulting in a robust and versatile tool for a wide range of language tasks. Its unique strengths include long responses, low hallucination rates, and the absence of censorship mechanisms, making it an attractive alternative to existing models like .Example: ollama run nous-hermes:13b-q4_0. By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the .
本集视频带大家体验一个无需越狱就能用的大语言模型Nouds-Hermes-13B，所有的审查都被移除，你可以问任何问题，是的，任何问题！ 该模型足够小，可以在没有互联网连接的情况下本地运行。
Austism/chronos-hermes-13b-v2. This offers the imaginative writing style of chronos while still retaining coherency and being capable. Outputs are long and utilize exceptional prose. Supports a maxium context length of 4096. The model follows the Alpaca prompt format.
Austism/chronos-hermes-13b-v2. This offers the imaginative writing style of chronos while still retaining coherency and being capable. Outputs are long and utilize exceptional prose. Supports a maxium context length of 4096. The model follows the Alpaca prompt format.
The Superhot 8k version of Nous Hermes - my previous choice for a 13B role play model - now loads with exllama_hf into about 8.4GB VRAM. With inferencing it uses about 14-15GB. So you'd want a 16GB VRAM GPU for this. But that's with max_seq_len set to 8192 for the full 8k context length. So that is probably now possible on any Geforce card with . Nous Hermes might produce everything faster and in richer way in on the first and second response than GPT4-x-Vicuna-13b-4bit, However once the exchange of conversation between Nous Hermes gets past a few messages - the Nous Hermes completely forgets things and responds as if having no awareness of its previous content.
Nous-Hermes-13b. like 427. Text Generation. Transformers. PyTorch. English. llama. self-instruct. distillation. Inference Endpoints. text-generation-inference. License: gpl. Model card Files Files and versions Community 13 Train Deploy Use this model main Nous-Hermes-13b. 1 contributor;
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Nous Hermes 13B Code - GPTQ Model creator: Undi95 Original model: Nous Hermes 13B Code Description This repo contains GPTQ model files for Undi95's Nous Hermes 13B Code.. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. 7.4GB. Metadata general.architecture. llama general.file_type. 2 .Chronos-Hermes-13B-v2 Q8_0: Amy, Roleplay: Every message was a wall of text, but without actual detail, so it quickly became too boring to read it all. Tried multiple times but just couldn't get past that. Amy, Alpaca: Short messages with its regular prompt format, too short. Ignored background information and present state.One of the most popular 13B models for roleplay.Сhronos-hermes-13b (GPU) - https://huggingface.co/Austism/chronos-hermes-13b-v2-GPTQFor KoboldAI United use t.
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nousresearch nous hermes 13b
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hermes 13b|nousresearch nous hermes 13b
