You can deploy this model and start earning money today!

RichardErkhov/
Azazelle_-_xDAN-SlimOrca-gguf

Name: Azazelle_-_xDAN-SlimOrca-gguf
Availability: InStock

endpoints_compatible

gguf

template

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

xDAN-SlimOrca - GGUF

Model creator: https://huggingface.co/Azazelle/
Original model: https://huggingface.co/Azazelle/xDAN-SlimOrca/

Name	Quant method	Size
xDAN-SlimOrca.Q2_K.gguf	Q2_K	2.53GB
xDAN-SlimOrca.IQ3_XS.gguf	IQ3_XS	2.81GB
xDAN-SlimOrca.IQ3_S.gguf	IQ3_S	2.96GB
xDAN-SlimOrca.Q3_K_S.gguf	Q3_K_S	2.95GB
xDAN-SlimOrca.IQ3_M.gguf	IQ3_M	3.06GB
xDAN-SlimOrca.Q3_K.gguf	Q3_K	3.28GB
xDAN-SlimOrca.Q3_K_M.gguf	Q3_K_M	3.28GB
xDAN-SlimOrca.Q3_K_L.gguf	Q3_K_L	3.56GB
xDAN-SlimOrca.IQ4_XS.gguf	IQ4_XS	3.67GB
xDAN-SlimOrca.Q4_0.gguf	Q4_0	3.83GB
xDAN-SlimOrca.IQ4_NL.gguf	IQ4_NL	3.87GB
xDAN-SlimOrca.Q4_K_S.gguf	Q4_K_S	3.86GB
xDAN-SlimOrca.Q4_K.gguf	Q4_K	4.07GB
xDAN-SlimOrca.Q4_K_M.gguf	Q4_K_M	4.07GB
xDAN-SlimOrca.Q4_1.gguf	Q4_1	4.24GB
xDAN-SlimOrca.Q5_0.gguf	Q5_0	4.65GB
xDAN-SlimOrca.Q5_K_S.gguf	Q5_K_S	4.65GB
xDAN-SlimOrca.Q5_K.gguf	Q5_K	4.78GB
xDAN-SlimOrca.Q5_K_M.gguf	Q5_K_M	4.78GB
xDAN-SlimOrca.Q5_1.gguf	Q5_1	5.07GB
xDAN-SlimOrca.Q6_K.gguf	Q6_K	5.53GB
xDAN-SlimOrca.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-4.0 tags:

mistral
merge pipeline_tag: text-generation model-index:
name: xDAN-SlimOrca 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: 65.61 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca 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: 85.7 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca 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: 63.67 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca 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: 57.68 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca 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: 77.66 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca 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: 57.92 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca name: Open LLM Leaderboard

Model Card for xDAN-SlimOrca

Slerp merge of xDAN-L1-Chat-RL-v1 and mistral-7b-slimorcaboros.

.yaml file for mergekit

.yaml:

slices:
  - sources:
      - model: xDAN-AI/xDAN-L1-Chat-RL-v1
        layer_range: [0, 32]
      - model: openaccess-ai-collective/mistral-7b-slimorcaboros
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
  t:
    - filter: self_attn
      value: [0.14, 0.57, 0.4, 0.74, 1]
    - filter: mlp
      value: [0.86, 0.43, 0.6, 0.26, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.04
AI2 Reasoning Challenge (25-Shot)	65.61
HellaSwag (10-Shot)	85.70
MMLU (5-Shot)	63.67
TruthfulQA (0-shot)	57.68
Winogrande (5-shot)	77.66
GSM8k (5-shot)	57.92

RichardErkhov/Azazelle_-_xDAN-SlimOrca-gguf

Original model description:

Model Card for xDAN-SlimOrca

Open LLM Leaderboard Evaluation Results

RichardErkhov/
Azazelle_-_xDAN-SlimOrca-gguf