beberik_-_Nyxene-v3-11B-4bits

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Nyxene-v3-11B - bnb 4bits

• Model creator: https://huggingface.co/beberik/
• Original model: https://huggingface.co/beberik/Nyxene-v3-11B/

Original model description:

license: cc-by-nc-4.0 tags:

• merge model-index:
• name: Nyxene-v3-11B results:
  • task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
    • type: acc_norm value: 69.62 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
    • type: acc_norm value: 85.33 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
    • type: acc value: 64.75 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
    • type: mc2 value: 60.91 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
    • type: acc value: 80.19 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 63.53 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B name: Open LLM Leaderboard

---

Description

This repo contains bf16 files of Nyxene-v1-11B. Just new version with some new things.

Model used

• Intel/neural-chat-7b-v3-3-Slerp
• AIDC-ai-business/Marcoroni-7B-v3
• rwitz/go-bruins-v2
• chargoddard/loyal-piano-m7-cdpo

Prompt template

Just use chatml.

The secret sauce

go-bruins-loyal-piano-11B :

slices:
  - sources:
    - model: rwitz/go-bruins-v2
      layer_range: [0, 24]
  - sources:
    - model: chargoddard/loyal-piano-m7-cdpo
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

neural-marcoroni-11B :

slices:
  - sources:
    - model: AIDC-ai-business/Marcoroni-7B-v3
      layer_range: [0, 24]
  - sources:
    - model: Intel/neural-chat-7b-v3-3-Slerp
      layer_range: [8, 32]

merge_method: passthrough
dtype: bfloat16

Nyxene-11B :

slices:
  - sources:
      - model: "./go-bruins-loyal-piano-11B"
        layer_range: [0, 48]
      - model: "./neural-marcoroni-11B"
        layer_range: [0, 48]
merge_method: slerp
base_model: "./go-bruins-loyal-piano-11B"
parameters:
  t:
    - filter: lm_head 
      value: [0.5]
    - filter: embed_tokens
      value: [0.75]
    - filter: self_attn
      value: [0.75, 0.25]
    - filter: mlp
      value:  [0.25, 0.75]
    - filter: layernorm
      value: [0.5, 0.5]
    - filter: modelnorm
      value: [0.5]
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16

I use mergekit for all the manipulation told here.

Thanks to the Undi95 for the original 11B mistral merge recipe.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here