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MBX-7B-v3-DPO-exl2

Text Generation
Transformers
Inference Endpoints
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  1. .gitattributes +1 -0
  2. MBX-v3-orca.png +3 -0
  3. README.md +132 -50
  4. config.json +26 -0
  5. generation_config.json +7 -0
  6. model.safetensors.index.json +298 -0
  7. original_repo_url.txt +1 -0
  8. output.safetensors +3 -0
  9. special_tokens_map.json +23 -0
  10. tokenizer.json +0 -0
  11. tokenizer.model +3 -0
  12. tokenizer_config.json +42 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ MBX-v3-orca.png filter=lfs diff=lfs merge=lfs -text
MBX-v3-orca.png ADDED

Git LFS Details

  • SHA256: c14a29511fd94e5a033848b10d84366df4bbf7a396c4a102bb6c387ffbcf9de7
  • Pointer size: 132 Bytes
  • Size of remote file: 3.27 MB
README.md CHANGED
@@ -3,63 +3,145 @@ library_name: transformers
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  datasets:
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  - jondurbin/truthy-dpo-v0.1
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  license: cc
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- quantized_by: bartowski
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- pipeline_tag: text-generation
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  ---
9
 
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- ## Exllama v2 Quantizations of MBX-7B-v3-DPO
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- Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
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- <b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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- Original model: https://huggingface.co/macadeliccc/MBX-7B-v3-DPO
 
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- | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
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- | ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
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- | [8_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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- | [6_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
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- | [5_0](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
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- | [4_25](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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- | [3_5](https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
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- ## Download instructions
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-
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- With git:
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-
32
- ```shell
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- git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/MBX-7B-v3-DPO-exl2 MBX-7B-v3-DPO-exl2-6_5
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- ```
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-
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- With huggingface hub (credit to TheBloke for instructions):
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-
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- ```shell
39
- pip3 install huggingface-hub
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- ```
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-
42
- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `MBX-7B-v3-DPO-exl2`:
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-
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- ```shell
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- mkdir MBX-7B-v3-DPO-exl2
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- huggingface-cli download bartowski/MBX-7B-v3-DPO-exl2 --local-dir MBX-7B-v3-DPO-exl2 --local-dir-use-symlinks False
47
- ```
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-
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- To download from a different branch, add the `--revision` parameter:
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-
51
- Linux:
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-
53
- ```shell
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- mkdir MBX-7B-v3-DPO-exl2-6_5
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- huggingface-cli download bartowski/MBX-7B-v3-DPO-exl2 --revision 6_5 --local-dir MBX-7B-v3-DPO-exl2-6_5 --local-dir-use-symlinks False
56
- ```
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-
58
- Windows (which apparently doesn't like _ in folders sometimes?):
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-
60
- ```shell
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- mkdir MBX-7B-v3-DPO-exl2-6.5
62
- huggingface-cli download bartowski/MBX-7B-v3-DPO-exl2 --revision 6_5 --local-dir MBX-7B-v3-DPO-exl2-6.5 --local-dir-use-symlinks False
63
  ```
64
 
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- Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  datasets:
4
  - jondurbin/truthy-dpo-v0.1
5
  license: cc
 
 
6
  ---
7
 
8
+ # MBX-7B-v3-DPO
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10
+ This model is a finetune of [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3) using jondurbin/truthy-dpo-v0.1
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12
+ ![MBX-v3-orca](MBX-v3-orca.png)
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14
+ ## Code Example
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16
+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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19
+ tokenizer = AutoTokenizer.from_pretrained("macadeliccc/MBX-7B-v3-DPO")
20
+ model = AutoModelForCausalLM.from_pretrained("macadeliccc/MBX-7B-v3-DPO")
 
 
 
 
 
21
 
22
+ messages = [
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+ {"role": "system", "content": "Respond to the users request like a pirate"},
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+ {"role": "user", "content": "Can you write me a quicksort algorithm?"}
25
+ ]
26
+ gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
  ```
28
 
29
+ ## Example Output
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6455cc8d679315e4ef16fbec/g5_PTJhGJAcG88wmZz1IO.png)
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+
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+ ## GGUF
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+
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+ Available [here](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO-GGUF/tree/main)
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+
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+ ## Evaluations
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+
39
+ ## EQ-Bench Comparison
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+
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+ <pre>----Benchmark Complete----
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+ 2024-01-30 15:22:18
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+ Time taken: 145.9 mins
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+ Prompt Format: ChatML
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+ Model: macadeliccc/MBX-7B-v3-DPO
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+ Score (v2): 74.32
47
+ Parseable: 166.0
48
+ ---------------
49
+ Batch completed
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+ Time taken: 145.9 mins
51
+ ---------------
52
+ </pre>
53
+
54
+ ### Original Model
55
+ <pre>----Benchmark Complete----
56
+ 2024-01-31 01:26:26
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+ Time taken: 89.1 mins
58
+ Prompt Format: Mistral
59
+ Model: flemmingmiguel/MBX-7B-v3
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+ Score (v2): 73.87
61
+ Parseable: 168.0
62
+ ---------------
63
+ Batch completed
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+ Time taken: 89.1 mins
65
+ ---------------
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+ </pre>
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+
68
+ | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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+ |-----------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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+ |[MBX-7B-v3-DPO](https://huggingface.co/macadeliccc/MBX-7B-v3-DPO)| 45.16| 77.73| 74.62| 48.83| 61.58|
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+
72
+ ### AGIEval
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+ | Task |Version| Metric |Value| |Stderr|
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+ |------------------------------|------:|--------|----:|---|-----:|
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+ |agieval_aqua_rat | 0|acc |27.95|± | 2.82|
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+ | | |acc_norm|26.77|± | 2.78|
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+ |agieval_logiqa_en | 0|acc |41.01|± | 1.93|
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+ | | |acc_norm|40.55|± | 1.93|
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+ |agieval_lsat_ar | 0|acc |25.65|± | 2.89|
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+ | | |acc_norm|23.91|± | 2.82|
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+ |agieval_lsat_lr | 0|acc |50.78|± | 2.22|
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+ | | |acc_norm|52.94|± | 2.21|
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+ |agieval_lsat_rc | 0|acc |66.54|± | 2.88|
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+ | | |acc_norm|65.80|± | 2.90|
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+ |agieval_sat_en | 0|acc |77.67|± | 2.91|
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+ | | |acc_norm|77.67|± | 2.91|
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+ |agieval_sat_en_without_passage| 0|acc |43.20|± | 3.46|
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+ | | |acc_norm|43.20|± | 3.46|
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+ |agieval_sat_math | 0|acc |32.27|± | 3.16|
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+ | | |acc_norm|30.45|± | 3.11|
91
+
92
+ Average: 45.16%
93
+
94
+ ### GPT4All
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+ | Task |Version| Metric |Value| |Stderr|
96
+ |-------------|------:|--------|----:|---|-----:|
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+ |arc_challenge| 0|acc |68.43|± | 1.36|
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+ | | |acc_norm|68.34|± | 1.36|
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+ |arc_easy | 0|acc |87.54|± | 0.68|
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+ | | |acc_norm|82.11|± | 0.79|
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+ |boolq | 1|acc |88.20|± | 0.56|
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+ |hellaswag | 0|acc |69.76|± | 0.46|
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+ | | |acc_norm|87.40|± | 0.33|
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+ |openbookqa | 0|acc |40.20|± | 2.19|
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+ | | |acc_norm|49.60|± | 2.24|
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+ |piqa | 0|acc |83.68|± | 0.86|
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+ | | |acc_norm|85.36|± | 0.82|
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+ |winogrande | 0|acc |83.11|± | 1.05|
109
+
110
+ Average: 77.73%
111
+
112
+ ### TruthfulQA
113
+ | Task |Version|Metric|Value| |Stderr|
114
+ |-------------|------:|------|----:|---|-----:|
115
+ |truthfulqa_mc| 1|mc1 |58.87|± | 1.72|
116
+ | | |mc2 |74.62|± | 1.44|
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+
118
+ Average: 74.62%
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+
120
+ ### Bigbench
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+ | Task |Version| Metric |Value| |Stderr|
122
+ |------------------------------------------------|------:|---------------------|----:|---|-----:|
123
+ |bigbench_causal_judgement | 0|multiple_choice_grade|60.00|± | 3.56|
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+ |bigbench_date_understanding | 0|multiple_choice_grade|63.14|± | 2.51|
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+ |bigbench_disambiguation_qa | 0|multiple_choice_grade|47.67|± | 3.12|
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+ |bigbench_geometric_shapes | 0|multiple_choice_grade|22.56|± | 2.21|
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+ | | |exact_str_match | 0.84|± | 0.48|
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+ |bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|33.20|± | 2.11|
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+ |bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|23.00|± | 1.59|
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+ |bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|59.67|± | 2.84|
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+ |bigbench_movie_recommendation | 0|multiple_choice_grade|47.40|± | 2.24|
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+ |bigbench_navigate | 0|multiple_choice_grade|56.10|± | 1.57|
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+ |bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|71.25|± | 1.01|
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+ |bigbench_ruin_names | 0|multiple_choice_grade|56.47|± | 2.35|
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+ |bigbench_salient_translation_error_detection | 0|multiple_choice_grade|35.27|± | 1.51|
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+ |bigbench_snarks | 0|multiple_choice_grade|73.48|± | 3.29|
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+ |bigbench_sports_understanding | 0|multiple_choice_grade|75.46|± | 1.37|
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+ |bigbench_temporal_sequences | 0|multiple_choice_grade|52.10|± | 1.58|
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+ |bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|22.64|± | 1.18|
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+ |bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|19.83|± | 0.95|
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+ |bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|59.67|± | 2.84|
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+
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+ Average: 48.83%
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+
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+ Average score: 61.58%
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+
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+ Elapsed time: 02:37:39
config.json ADDED
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