Duplicate from djuna/Cathallama-70B-128K

.gitattributes

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README.md

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+---
+license: llama3.1
+language:
+- en
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- meta-llama/Meta-Llama-3.1-70B-Instruct
+- turboderp/Cat-Llama-3-70B-instruct
+- Nexusflow/Athene-70B
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/649dc85249ae3a68334adcc6/KxaiZ7rDKkYlix99O9j5H.png)
+
+**Cathallama-70B-128K** **originally from: [gbueno86/Cathallama-70B](https://huggingface.co/gbueno86/Cathallama-70B)**
+=====================================
+
+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]
+```
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/649dc85249ae3a68334adcc6/bBcB194tAtsZjPUnI1pDQ.png)
+
+**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](https://huggingface.co/gbueno86/Cathallama-70B/blob/main/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!

config.json

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+{
+  "_name_or_path": "/Volumes/external2/models/Cat-a-Llama-v2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

llama.log

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+[1723093853] warming up the model with an empty run

mergekit_config.yml

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+base_model: /Volumes/external2/models/Cat-a-Llama-v2
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 80]
+    model: /Volumes/external2/models/Cat-a-Llama-v2
+  - layer_range: [0, 80]
+    model: /Volumes/external2/models/Athallama-3.1-70B

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