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README.md

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+---
+license: other
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
+language:
+- en
+library_name: transformers
+base_model: []
+tags:
+- mergekit
+- merge
+- Yi
+---
+# Yi 34B 200K DARE Merge v8
+
+A merge of many Yi 34B 200K models using the new DARE Ties method via mergekit. The goal is to create a merge model that excels at 32K+ context performance, without any additional finetuning.
+
+## Prompt template: Orca-Vicuna
+```
+SYSTEM: {system_message}
+USER: {prompt}
+ASSISTANT:
+```
+It might recognize ChatML, and possibly Alpaca-like formats. Raw prompting as described here is also effective: https://old.reddit.com/r/LocalLLaMA/comments/18zqy4s/the_secret_to_writing_quality_stories_with_llms/
+
+
+
+## Running
+Being a Yi model, run a lower temperature with 0.05 or higher MinP, a little repetition penalty, maybe mirostat with a low tau, and no other samplers. Yi tends to run "hot" by default, and it really needs a low temperature + MinP to cull Yi's huge vocabulary. See the explanation here: https://github.com/ggerganov/llama.cpp/pull/3841
+
+24GB GPUs can efficiently run Yi-34B-200K models at **40K-90K context** with exllamav2, and performant UIs like [exui](https://github.com/turboderp/exui). I go into more detail in this [post](https://old.reddit.com/r/LocalLLaMA/comments/1896igc/how_i_run_34b_models_at_75k_context_on_24gb_fast/). 16GB GPUs can still run the high context with aggressive quantization.
+
+I recommend exl2 quantizations profiled on data similar to the desired task. It is especially sensitive to the quantization data at low bpw. I've upload my own fiction-oriented quantizations here: https://huggingface.co/collections/brucethemoose/most-recent-merge-65742644ca03b6c514afa204
+
+To load/train this in full-context backends like transformers, you *must* change `max_position_embeddings` in config.json to a lower value than 200,000, otherwise you will OOM! I do not recommend running high context without context-efficient backends like exllamav2, litellm or unsloth.
+
+
+## Testing Notes
+
+See: https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v5#testing-notes
+
+An intermediate merge model was created to try and extend the context of several 4k models before adding them to the main merge, as seen in the "megamerge" recipe below. I can upload this upon request
+
+In addition, the weight gradients are biased towards Vicuna-format models in the first few layers to try and "emphasize" the Orca-Vicuna prompt template. How sucessful this is remains to be seen. 
+
+
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* https://huggingface.co/kyujinpy/PlatYi-34B-200k-Q-FastChat
+* https://huggingface.co/jondurbin/bagel-34b-v0.2
+* https://huggingface.co/migtissera/Tess-M-Creative-v1.0
+* https://huggingface.co/brucethemoose/SUS-Bagel-200K-DARE-Test
+* https://huggingface.co/Mihaiii/Pallas-0.5
+* https://huggingface.co/bhenrym14/airoboros-3_1-yi-34b-200k
+* https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2
+* https://huggingface.co/migtissera/Tess-34B-v1.4
+* https://huggingface.co/SUSTech/SUS-Chat-34B
+* https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2
+* https://huggingface.co/bhenrym14/platypus-yi-34b
+* https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-34B-Slerp
+* https://huggingface.co/TriadParty/deepsex-34b
+* https://huggingface.co/TriadParty/deepmoney-34b-200k-base
+* https://huggingface.co/chargoddard/Yi-34B-200K-Llama
+* https://huggingface.co/chargoddard/Yi-34B-Llama
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama
+  # No parameters necessary for base model
+  - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
+  #200K base to extend the context of 4K models, max density as we *want* it to 'interfere'
+    parameters:
+      weight: 0.33
+      density: 1
+  - model: /home/alpha/Models/Raw/Weyaxi_Nous-Hermes-2-SUS-Chat-34B-Slerp
+    parameters:
+      weight: 0.15
+      density: 0.36
+  - model: /home/alpha/Models/Raw/jondurbin_bagel-dpo-34b-v0.2
+  #Mix dpo with sft to tone down dpo
+    parameters:
+      weight: 0.06
+      density: 0.36
+  - model: /home/alpha/Models/Raw/jondurbin_bagel-34b-v0.2
+    parameters:
+      weight: 0.06
+      density: 0.41
+  - model: /home/alpha/Models/Raw/bhenrym14_platypus-yi-34b
+  #Vicuna format
+    parameters:
+      weight: 0.19
+      density: 0.41
+  # - model: /home/alpha/Models/Raw/01-ai_Yi-34B-Chat #+/home/alpha/Models/Raw/Doctor-Shotgun_limarpv3-yi-llama-34b-lora
+  # #Can't get lora OR base model to work without erroring out?
+  #   parameters:
+  #     weight: 0.04
+  #     density: 0.36
+  - model: /home/alpha/Models/Raw/TriadParty_deepsex-34b
+  #Base model with no prompt
+    parameters:
+      weight: 0.21
+      density: 0.39
+merge_method: dare_ties
+tokenizer_source: union
+base_model: /home/alpha/Models/Raw/chargoddard_Yi-34B-Llama
+parameters:
+  int8_mask: true
+dtype: bfloat16
+name: 4kmerge-v2
+---
+models:
+  - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
+    # No parameters necessary for base model
+  - model: /home/alpha/Storage/Models/Raw/migtissera_Tess-34B-v1.4
+    #Emphasize the beginning of Vicuna format models
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+  - model: /home/alpha/Models/Raw/Mihaiii_Pallas-0.5
+    # Vicuna format
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+  - model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
+    parameters:
+      weight: [0.02, 0.081, 0.081, 0.081, 0.081, 0.081]
+      density: 0.59
+  - model: /home/alpha/Storage/Models/Raw/jondurbin_bagel-34b-v0.2
+    #Only the SFT in the main merge since the DPO version seems to have no long context ability at all, and some overfitting(?) issues
+    parameters:
+      weight: [0.02, 0.093, 0.093, 0.093, 0.093, 0.093]
+      density: 0.4
+  - model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200k-Q-FastChat
+    parameters:
+      weight: [0.02, 0.081, 0.081, 0.081, 0.081, 0.081]
+      density: 0.59
+  #- model: /home/alpha/Storage/Models/Raw/ehartford_dolphin-2.2-yi-34b-200k
+  #  Dolphin 200K seems to be funky according to multiple leaderboards and perplexity tests?
+  #  parameters:
+  #    weight: 0.15
+  #    density: 0.6
+  - model: /home/alpha/Models/Raw/adamo1139_Yi-34B-200K-AEZAKMI-v2
+    parameters:
+      weight: [0.02, 0.096, 0.096, 0.096, 0.096, 0.096]
+      density: 0.59
+  - model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
+    parameters:
+      weight:  [0.21, 0.115, 0.115, 0.115, 0.115, 0.115]
+      density: 0.59
+  - model: 4kmerge-v2
+  #Previous merge
+    parameters:
+      weight: [0.02, 0.115, 0.115, 0.115, 0.115, 0.115]
+      density: 0.4
+  - model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
+  # Vicuna format
+    parameters:
+      weight: [0.21, 0.09, 0.09, 0.09, 0.09, 0.09]
+      density: 0.61
+  - model: /home/alpha/Models/Raw/TriadParty_deepmoney-34b-200k-base
+  # No prompt format, native long context full finetune
+    parameters:
+      weight: [0.04, 0.103, 0.103, 0.103, 0.103, 0.103]
+      density: 0.61
+merge_method: dare_ties
+tokenizer_source: union
+base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```

config.json

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+{
+  "_name_or_path": "/home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 200000,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 60,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 64002
+}

mergekit_config.yml

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+base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
+dtype: bfloat16
+merge_method: dare_ties
+parameters:
+  int8_mask: 1.0
+slices:
+- sources:
+  - layer_range: [0, 60]
+    model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
+  - layer_range: [0, 60]
+    model: /home/alpha/Storage/Models/Raw/migtissera_Tess-34B-v1.4
+    parameters:
+      density: 0.61
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+  - layer_range: [0, 60]
+    model: /home/alpha/Models/Raw/Mihaiii_Pallas-0.5
+    parameters:
+      density: 0.61
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+  - layer_range: [0, 60]
+    model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
+    parameters:
+      density: 0.59
+      weight: [0.02, 0.081, 0.081, 0.081, 0.081, 0.081]
+  - layer_range: [0, 60]
+    model: /home/alpha/Storage/Models/Raw/jondurbin_bagel-34b-v0.2
+    parameters:
+      density: 0.4
+      weight: [0.02, 0.093, 0.093, 0.093, 0.093, 0.093]
+  - layer_range: [0, 60]
+    model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200k-Q-FastChat
+    parameters:
+      density: 0.59
+      weight: [0.02, 0.081, 0.081, 0.081, 0.081, 0.081]
+  - layer_range: [0, 60]
+    model: /home/alpha/Models/Raw/adamo1139_Yi-34B-200K-AEZAKMI-v2
+    parameters:
+      density: 0.59
+      weight: [0.02, 0.096, 0.096, 0.096, 0.096, 0.096]
+  - layer_range: [0, 60]
+    model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
+    parameters:
+      density: 0.59
+      weight: [0.21, 0.115, 0.115, 0.115, 0.115, 0.115]
+  - layer_range: [0, 60]
+    model: /home/alpha/FastModels/v8/4kmerge-v2
+    parameters:
+      density: 0.4
+      weight: [0.02, 0.115, 0.115, 0.115, 0.115, 0.115]
+  - layer_range: [0, 60]
+    model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
+    parameters:
+      density: 0.61
+      weight: [0.21, 0.09, 0.09, 0.09, 0.09, 0.09]
+  - layer_range: [0, 60]
+    model: /home/alpha/Models/Raw/TriadParty_deepmoney-34b-200k-base
+    parameters:
+      density: 0.61
+      weight: [0.04, 0.103, 0.103, 0.103, 0.103, 0.103]
+tokenizer_source: union

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special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "2": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "64000": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "64001": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 200000,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "truncation_side": "right",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}