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Cathallama-70B-bpw4.4-exl2
blockblockblock/Cathallama-70B-bpw4.4-exl2
Cathallama-70B-bpw4.4-exl2 is a text generation model from blockblockblock. 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
181
Public
Repo size
40.6 GB
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0
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Repo makeup
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.safetensors40.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- 3bf6afed
Try a prompt
Base models
Model card
From the Hugging Face model README
Cathallama
Awesome model, my new daily driver.
Notable Performance
- 9% overall success rate increase on MMLU-PRO over LLaMA 3.1 70b
- 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 | 51.0% |
| turboderp_Cat-Llama-3-70B-instruct | 37.0% |
| Nexusflow_Athene-70B | 41.0% |
| Meta-Llama-3.1-70B-Instruct | 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
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024