README.md

metadata

base_model: mistralai/Mistral-7B-v0.1
library_name: transformers
tags:
  - mergekit
  - merge
  - Mistral
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - gpt4
  - synthetic data
  - distillation
  - function calling
  - json mode
model-index:
  - name: Hermes-2-Pro-Mistral-10.7B
    results: []
license: apache-2.0
language:
  - en
datasets:
  - teknium/OpenHermes-2.5
widget:
  - example_title: Hermes 2 Pro
    messages:
      - role: system
        content: >-
          You are a sentient, superintelligent artificial general intelligence,
          here to teach and assist me.
      - role: user
        content: >-
          Write a short story about Goku discovering kirby has teamed up with
          Majin Buu to destroy the world.
quantized_by: bartowski
pipeline_tag: text-generation

Llamacpp Quantizations of Hermes-2-Pro-Mistral-10.7B

Using llama.cpp release b2536 for quantization.

Original model: https://huggingface.co/Joseph717171/Hermes-2-Pro-Mistral-10.7B

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Description
Hermes-2-Pro-Mistral-10.7B-Q8_0.gguf	Q8_0	11.40GB	Extremely high quality, generally unneeded but max available quant.
Hermes-2-Pro-Mistral-10.7B-Q6_K.gguf	Q6_K	8.80GB	Very high quality, near perfect, recommended.
Hermes-2-Pro-Mistral-10.7B-Q5_K_M.gguf	Q5_K_M	7.59GB	High quality, very usable.
Hermes-2-Pro-Mistral-10.7B-Q5_K_S.gguf	Q5_K_S	7.39GB	High quality, very usable.
Hermes-2-Pro-Mistral-10.7B-Q5_0.gguf	Q5_0	7.39GB	High quality, older format, generally not recommended.
Hermes-2-Pro-Mistral-10.7B-Q4_K_M.gguf	Q4_K_M	6.46GB	Good quality, uses about 4.83 bits per weight.
Hermes-2-Pro-Mistral-10.7B-Q4_K_S.gguf	Q4_K_S	6.11GB	Slightly lower quality with small space savings.
Hermes-2-Pro-Mistral-10.7B-IQ4_NL.gguf	IQ4_NL	6.14GB	Decent quality, similar to Q4_K_S, new method of quanting,
Hermes-2-Pro-Mistral-10.7B-IQ4_XS.gguf	IQ4_XS	5.82GB	Decent quality, new method with similar performance to Q4.
Hermes-2-Pro-Mistral-10.7B-Q4_0.gguf	Q4_0	6.07GB	Decent quality, older format, generally not recommended.
Hermes-2-Pro-Mistral-10.7B-Q3_K_L.gguf	Q3_K_L	5.65GB	Lower quality but usable, good for low RAM availability.
Hermes-2-Pro-Mistral-10.7B-Q3_K_M.gguf	Q3_K_M	5.19GB	Even lower quality.
Hermes-2-Pro-Mistral-10.7B-IQ3_M.gguf	IQ3_M	4.84GB	Medium-low quality, new method with decent performance.
Hermes-2-Pro-Mistral-10.7B-IQ3_S.gguf	IQ3_S	4.69GB	Lower quality, new method with decent performance, recommended over Q3 quants.
Hermes-2-Pro-Mistral-10.7B-Q3_K_S.gguf	Q3_K_S	4.66GB	Low quality, not recommended.
Hermes-2-Pro-Mistral-10.7B-Q2_K.gguf	Q2_K	4.00GB	Extremely low quality, not recommended.

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