koesn/Pastiche-Crown-Clown-7B-dare-GGUF

Pastiche-Crown-Clown-7B-dare

Description

This repo contains GGUF format model files for Pastiche-Crown-Clown-7B-dare.

Files Provided

Name	Quant	Bits	File Size	Remark
pastiche-crown-clown-7b-dare.IQ3_XXS.gguf	IQ3_XXS	3	3.02 GB	3.06 bpw quantization
pastiche-crown-clown-7b-dare.IQ3_S.gguf	IQ3_S	3	3.18 GB	3.44 bpw quantization
pastiche-crown-clown-7b-dare.IQ3_M.gguf	IQ3_M	3	3.28 GB	3.66 bpw quantization mix
pastiche-crown-clown-7b-dare.Q4_0.gguf	Q4_0	4	4.11 GB	3.56G, +0.2166 ppl
pastiche-crown-clown-7b-dare.IQ4_NL.gguf	IQ4_NL	4	4.16 GB	4.25 bpw non-linear quantization
pastiche-crown-clown-7b-dare.Q4_K_M.gguf	Q4_K_M	4	4.37 GB	3.80G, +0.0532 ppl
pastiche-crown-clown-7b-dare.Q5_K_M.gguf	Q5_K_M	5	5.13 GB	4.45G, +0.0122 ppl
pastiche-crown-clown-7b-dare.Q6_K.gguf	Q6_K	6	5.94 GB	5.15G, +0.0008 ppl
pastiche-crown-clown-7b-dare.Q8_0.gguf	Q8_0	8	7.70 GB	6.70G, +0.0004 ppl

Parameters

path	type	architecture	rope_theta	sliding_win	max_pos_embed
CorticalStack/pastiche-crown-clown-7b-dare	mistral	MistralForCausalLM	10000.0	4096	32768

Benchmarks

Original Model Card

pastiche-crown-clown-7B-dare

pastiche-crown-clown-7B-dare is a DARE merge of the following models using mergekit:

• bardsai/jaskier-7b-dpo-v5.6
• mlabonne/AlphaMonarch-7B
• mlabonne/NeuralMonarch-7B
• macadeliccc/MBX-7B-v3-DPO

See the paper Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch for more on the method.

🧩 Configuration

models:
  - model: bardsai/jaskier-7b-dpo-v5.6
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.53
      weight: 0.2
  - model: mlabonne/NeuralMonarch-7B
    parameters:
      density: 0.53
      weight: 0.4
  - model: macadeliccc/MBX-7B-v3-DPO
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: bardsai/jaskier-7b-dpo-v5.6
parameters:
  int8_mask: true
dtype: bfloat16