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hermes 13b

hermes 13b Powered by open-source model Chronos-Hermes-13b. Kamēr plausies radio, aplūko Latvijas eradio webkameras šeit. Skaties tīmekļa kameras šeit! Jauno mediju kultūras centra RIXC radio kā ar masu medija funkcijām nesaistīts risinājums un sociālās kopienas interneta lapā integrētais ORB radio. Radio SWH eRadio webkameras ir ierīkotas studijā un skatītāji var vērot radio darbu tiešraidē.
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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 WeightsA 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 API

Original 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。

openhermes model

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;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.

openhermes model

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