gguf endpoints_compatible region:us conversational
---
{}
---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


SOLAR-10.7b-Instruct-truthy-dpo - GGUF
- Model creator: https://huggingface.co/macadeliccc/
- Original model: https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q2_K.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q2_K.gguf) | Q2_K | 3.73GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.IQ3_XS.gguf) | IQ3_XS | 4.14GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.IQ3_S.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.IQ3_S.gguf) | IQ3_S | 4.37GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_S.gguf) | Q3_K_S | 4.34GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.IQ3_M.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.IQ3_M.gguf) | IQ3_M | 4.51GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q3_K.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q3_K.gguf) | Q3_K | 4.84GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_M.gguf) | Q3_K_M | 4.84GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q3_K_L.gguf) | Q3_K_L | 5.26GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.IQ4_XS.gguf) | IQ4_XS | 5.43GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q4_0.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q4_0.gguf) | Q4_0 | 5.66GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.IQ4_NL.gguf) | IQ4_NL | 5.72GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q4_K_S.gguf) | Q4_K_S | 5.7GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q4_K.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q4_K.gguf) | Q4_K | 6.02GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q4_K_M.gguf) | Q4_K_M | 6.02GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q4_1.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q4_1.gguf) | Q4_1 | 6.27GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q5_0.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q5_0.gguf) | Q5_0 | 6.89GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q5_K_S.gguf) | Q5_K_S | 6.89GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q5_K.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q5_K.gguf) | Q5_K | 7.08GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q5_K_M.gguf) | Q5_K_M | 7.08GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q5_1.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q5_1.gguf) | Q5_1 | 7.51GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q6_K.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q6_K.gguf) | Q6_K | 8.2GB |
| [SOLAR-10.7b-Instruct-truthy-dpo.Q8_0.gguf](https://huggingface.co/RichardErkhov/macadeliccc_-_SOLAR-10.7b-Instruct-truthy-dpo-gguf/blob/main/SOLAR-10.7b-Instruct-truthy-dpo.Q8_0.gguf) | Q8_0 | 10.62GB |




Original model description:
---
license: cc
library_name: transformers
model-index:
- name: SOLAR-10.7b-Instruct-truthy-dpo
  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: 72.1
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      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: 88.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      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: 65.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      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: 76.75
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      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: 82.72
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      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: 59.21
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
      name: Open LLM Leaderboard
---
# SOLAR-10.7b-Instruct-truthy-dpo

![orca-bagel](orca-bagel.png)

This model is a finetune of [macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-dpo)

## Process

1. I finetuned upstageai/Solar-10.7b-Instruct-v0.1 with 1 epoch of Intel/orca_dpo_pairs (12.4k samples)
2. I futher finetuned that model with 3 epochs of jondurbin/truthy-dpo-v0.1 (1.04k samples)
3. This process is experimental and the base model linked above is more tested at this time.

## GGUF

Available [here](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo-GGUF)

## Evaluations

----Benchmark Complete----
+ 2024-01-26 20:57:38
+ Time taken: 25.4 mins
+ Prompt Format: ChatML
+ Model: macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo-GGUF
+ Score (v2): 74.11
+ Parseable: 171.0
---------------
Batch completed
Time taken: 25.5 mins
---------------


|                                                Model                                                |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|-----------------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[SOLAR-10.7b-Instruct-truthy-dpo](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo)|  48.69|  73.82|     76.81|   45.71|  61.26|

### AGIEval
|             Task             |Version| Metric |Value|   |Stderr|
|------------------------------|------:|--------|----:|---|-----:|
|agieval_aqua_rat              |      0|acc     |27.95|±  |  2.82|
|                              |       |acc_norm|27.95|±  |  2.82|
|agieval_logiqa_en             |      0|acc     |42.40|±  |  1.94|
|                              |       |acc_norm|42.24|±  |  1.94|
|agieval_lsat_ar               |      0|acc     |25.65|±  |  2.89|
|                              |       |acc_norm|23.91|±  |  2.82|
|agieval_lsat_lr               |      0|acc     |54.12|±  |  2.21|
|                              |       |acc_norm|54.51|±  |  2.21|
|agieval_lsat_rc               |      0|acc     |69.89|±  |  2.80|
|                              |       |acc_norm|69.89|±  |  2.80|
|agieval_sat_en                |      0|acc     |80.10|±  |  2.79|
|                              |       |acc_norm|80.10|±  |  2.79|
|agieval_sat_en_without_passage|      0|acc     |50.00|±  |  3.49|
|                              |       |acc_norm|49.51|±  |  3.49|
|agieval_sat_math              |      0|acc     |42.27|±  |  3.34|
|                              |       |acc_norm|41.36|±  |  3.33|

Average: 48.69%

### GPT4All
|    Task     |Version| Metric |Value|   |Stderr|
|-------------|------:|--------|----:|---|-----:|
|arc_challenge|      0|acc     |59.90|±  |  1.43|
|             |       |acc_norm|63.91|±  |  1.40|
|arc_easy     |      0|acc     |80.85|±  |  0.81|
|             |       |acc_norm|78.16|±  |  0.85|
|boolq        |      1|acc     |88.20|±  |  0.56|
|hellaswag    |      0|acc     |68.34|±  |  0.46|
|             |       |acc_norm|86.39|±  |  0.34|
|openbookqa   |      0|acc     |37.60|±  |  2.17|
|             |       |acc_norm|46.80|±  |  2.23|
|piqa         |      0|acc     |78.84|±  |  0.95|
|             |       |acc_norm|78.78|±  |  0.95|
|winogrande   |      0|acc     |74.51|±  |  1.22|

Average: 73.82%

### TruthfulQA
|    Task     |Version|Metric|Value|   |Stderr|
|-------------|------:|------|----:|---|-----:|
|truthfulqa_mc|      1|mc1   |61.81|±  |  1.70|
|             |       |mc2   |76.81|±  |  1.42|

Average: 76.81%

### Bigbench
|                      Task                      |Version|       Metric        |Value|   |Stderr|
|------------------------------------------------|------:|---------------------|----:|---|-----:|
|bigbench_causal_judgement                       |      0|multiple_choice_grade|50.53|±  |  3.64|
|bigbench_date_understanding                     |      0|multiple_choice_grade|63.14|±  |  2.51|
|bigbench_disambiguation_qa                      |      0|multiple_choice_grade|47.67|±  |  3.12|
|bigbench_geometric_shapes                       |      0|multiple_choice_grade|26.18|±  |  2.32|
|                                                |       |exact_str_match      | 0.00|±  |  0.00|
|bigbench_logical_deduction_five_objects         |      0|multiple_choice_grade|28.60|±  |  2.02|
|bigbench_logical_deduction_seven_objects        |      0|multiple_choice_grade|21.29|±  |  1.55|
|bigbench_logical_deduction_three_objects        |      0|multiple_choice_grade|47.33|±  |  2.89|
|bigbench_movie_recommendation                   |      0|multiple_choice_grade|39.80|±  |  2.19|
|bigbench_navigate                               |      0|multiple_choice_grade|63.80|±  |  1.52|
|bigbench_reasoning_about_colored_objects        |      0|multiple_choice_grade|59.05|±  |  1.10|
|bigbench_ruin_names                             |      0|multiple_choice_grade|40.18|±  |  2.32|
|bigbench_salient_translation_error_detection    |      0|multiple_choice_grade|46.69|±  |  1.58|
|bigbench_snarks                                 |      0|multiple_choice_grade|65.19|±  |  3.55|
|bigbench_sports_understanding                   |      0|multiple_choice_grade|72.41|±  |  1.42|
|bigbench_temporal_sequences                     |      0|multiple_choice_grade|60.30|±  |  1.55|
|bigbench_tracking_shuffled_objects_five_objects |      0|multiple_choice_grade|25.76|±  |  1.24|
|bigbench_tracking_shuffled_objects_seven_objects|      0|multiple_choice_grade|17.43|±  |  0.91|
|bigbench_tracking_shuffled_objects_three_objects|      0|multiple_choice_grade|47.33|±  |  2.89|

Average: 45.71%

Average score: 61.26%

Elapsed time: 02:16:03
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__SOLAR-10.7b-Instruct-truthy-dpo)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.11|
|AI2 Reasoning Challenge (25-Shot)|72.10|
|HellaSwag (10-Shot)              |88.44|
|MMLU (5-Shot)                    |65.45|
|TruthfulQA (0-shot)              |76.75|
|Winogrande (5-shot)              |82.72|
|GSM8k (5-shot)                   |59.21|



