sillyrp-7b-GGUF

QuantFactory/sillyrp-7b-GGUF

This is quantized version of nonetrix/sillyrp-7b created using llama.cpp

Original Model Card

Silly RP 7B

First time with merges really, basically experimenting and seeing what works. Seems solid in my tests so far, but no guarantees on quality – give it a shot and share your feedback! Eager to hear how others like it. Honestly, I'm still learning the ropes, like the benefits of different merge methods :P

Extra info

• Chat template: ChatML

---

base_model:

• tavtav/eros-7b-test
• NousResearch/Nous-Hermes-2-Mistral-7B-DPO
• maywell/Synatra-7B-v0.3-RP
• NeverSleep/Noromaid-7B-0.4-DPO
• cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5 library_name: transformers tags:
• mergekit
• merge

---

output

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using NeverSleep/Noromaid-7B-0.4-DPO as a base.

Models Merged

The following models were included in the merge:

• tavtav/eros-7b-test
• NousResearch/Nous-Hermes-2-Mistral-7B-DPO
• maywell/Synatra-7B-v0.3-RP
• cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5

Configuration

The following YAML configuration was used to produce this model:

base_model: NeverSleep/Noromaid-7B-0.4-DPO
models:
      - model: maywell/Synatra-7B-v0.3-RP
        parameters:
          weight: 0.2
      - model: tavtav/eros-7b-test
        parameters:
          weight: 0.2
      - model: cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5
        parameters:
          weight: 0.2
      - model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
        parameters:
          weight: 0.2
merge_method: task_arithmetic
parameters:
      weight: 0.17
dtype: float16
random_seed: 694201337567099116663322537