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Cathallama-70B
gbueno86/Cathallama-70B
Cathallama-70B is a text generation model from gbueno86. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.1.
All-time downloads
1.3K
Public
Parameters
70.6B
141 GB on disk
Likes
7
Public
Repo makeup
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.safetensors141 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 23, 2024
- SHA
- 262c672f
Try a prompt
Base models
Model card
From the Hugging Face model README
Cathallama
Awesome model, my new daily driver.
Edit: I am seeing a lot of token generations pointing to unknown unicode addresses that didn't show up during testing for this model, so I have stopped using it and I am working on a new version.
Notable Performance
- 9% overall success rate increase on MMLU-PRO over LLaMA 3.1 70b at Q4_0
- Strong performance in MMLU-PRO categories overall
- Great performance during manual testing
Creation workflow
Models merged
- meta-llama/Meta-Llama-3.1-70B-Instruct
- turboderp/Cat-Llama-3-70B-instruct
- Nexusflow/Athene-70B
flowchart TD
A[Nexusflow_Athene] -->|Merge with| B[Meta-Llama-3.1]
C[turboderp_Cat] -->|Merge with| D[Meta-Llama-3.1]
B -->| | E[Merge]
D -->| | E[Merge]
E[Merge] -->|Result| F[Cathallama]
Testing
Hyperparameters
- Temperature: 0.0 for automated, 0.9 for manual
- Penalize repeat sequence: 1.05
- Consider N tokens for penalize: 256
- Penalize repetition of newlines
- Top-K sampling: 40
- Top-P sampling: 0.95
- Min-P sampling: 0.05
LLaMAcpp Version
- b3527-2-g2d5dd7bb
- -fa -ngl -1 -ctk f16 --no-mmap
Tested Files
- Cathallama-70B.Q4_0.gguf
- Nexusflow_Athene-70B.Q4_0.gguf
- turboderp_Cat-Llama-3-70B-instruct.Q4_0.gguf
- Meta-Llama-3.1-70B-Instruct.Q4_0.gguf
Tests
Manual testing
| Category | Test Case | Cathallama-70B.Q4_0.gguf | Nexusflow_Athene-70B.Q4_0.gguf | turboderp_Cat-Llama-3-70B-instruct.Q4_0.gguf | Meta-Llama-3.1-70B-Instruct.Q4_0.gguf |
|---|---|---|---|---|---|
| Common Sense | Ball on cup | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | OK |
| Big duck small horse | <span style="color: red;">KO</span> | OK | <span style="color: red;">KO</span> | OK | |
| Killers | OK | OK | <span style="color: red;">KO</span> | OK | |
| Strawberry r's | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | |
| 9.11 or 9.9 bigger | <span style="color: red;">KO</span> | OK | OK | <span style="color: red;">KO</span> | |
| Dragon or lens | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | |
| Shirts | OK | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | |
| Sisters | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | |
| Jane faster | OK | OK | OK | OK | |
| Programming | JSON | OK | OK | OK | OK |
| Python snake game | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> | |
| Math | Door window combination | OK | OK | <span style="color: red;">KO</span> | <span style="color: red;">KO</span> |
| Smoke | Poem | OK | OK | OK | OK |
| Story | OK | OK | KO | OK |
Note: See sample_generations.txt on the main folder of the repo for the raw generations.
MMLU-PRO
| Model | Success % |
|---|---|
| Cathallama-70B.Q4_0.gguf | 51.0% |
| turboderp_Cat-Llama-3-70B-instruct.Q4_0.gguf | 37.0% |
| Nexusflow_Athene-70B.Q4_0.gguf | 41.0% |
| Meta-Llama-3.1-70B-Instruct.Q4_0.gguf | 42.0% |
| MMLU-PRO category | Cathallama-70B.Q4_0.gguf | Nexusflow_Athene-70B.Q4_0.gguf | turboderp_Cat-Llama-3-70B-instruct.Q4_0.gguf | Meta-Llama-3.1-70B-Instruct.Q4_0.gguf |
|---|---|---|---|---|
| Business | 50.0% | 45.0% | 20.0% | 40.0% |
| Law | 40.0% | 30.0% | 30.0% | 35.0% |
| Psychology | 85.0% | 80.0% | 70.0% | 75.0% |
| Biology | 80.0% | 70.0% | 85.0% | 80.0% |
| Chemistry | 55.0% | 40.0% | 35.0% | 35.0% |
| History | 65.0% | 60.0% | 55.0% | 65.0% |
| Other | 55.0% | 50.0% | 45.0% | 50.0% |
| Health | 75.0% | 40.0% | 60.0% | 65.0% |
| Economics | 80.0% | 75.0% | 65.0% | 70.0% |
| Math | 45.0% | 35.0% | 15.0% | 40.0% |
| Physics | 50.0% | 45.0% | 45.0% | 45.0% |
| Computer Science | 60.0% | 55.0% | 55.0% | 60.0% |
| Philosophy | 55.0% | 60.0% | 45.0% | 50.0% |
| Engineering | 35.0% | 40.0% | 25.0% | 35.0% |
Note: MMLU-PRO Overall tested with 100 questions. Categories testes with 20 questions from each category.
PubmedQA
| Model Name | Success% |
|---|---|
| Cathallama-70B.Q4_0.gguf | 73.00% |
| turboderp_Cat-Llama-3-70B-instruct.Q4_0.gguf | 76.00% |
| Nexusflow_Athene-70B.Q4_0.gguf | 67.00% |
| Meta-Llama-3.1-70B-Instruct.Q4_0.gguf | 72.00% |
Request
If you are hiring in the EU or can sponsor a visa, PM me :D
PS. Thank you mradermacher for the GGUFs!
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3.1
- Languages
- en
- Featherless Ai
- live
- Created
- Aug 7, 2024
- Updated
- Aug 23, 2024