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Model: beberik/Nyxene-v1-11B Source: Original Platform
2026-07-04 15:59:27 +08:00
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+---
+license: cc-by-nc-4.0
+tags:
+- merge
+model-index:
+- name: Nyxene-v1-11B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 67.49
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 84.52
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 65.12
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 57.28
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 79.01
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 52.08
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v1-11B
+      name: Open LLM Leaderboard
+---
+
+## Description
+
+This repo contains bf16 files of Nyxene-v1-11B. Same as the [previous version](https://huggingface.co/beberik/Nyxene-11B) but I used newer models and tried to repeat what I experimented with when there were older models.
+
+## Model used
+- [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
+- [openaccess-ai-collective/DPOpenHermes-7B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B)
+- [fblgit/juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA)
+- [chargoddard/loyal-piano-m7](https://huggingface.co/chargoddard/loyal-piano-m7)
+- [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)
+
+I added a new model because after the same action but using zephyr and dolphin the model turned out to be more creative.
+
+## Prompt template
+
+The best one after further testing is this one:
+
+```
+<|system|>
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+<|user|>
+{prompt}
+<|assistant|>
+```
+
+## The secret sauce
+
+loyal-piano with 1% of notus :
+```
+slices:
+  - sources:
+      - model: chargoddard/loyal-piano-m7
+        layer_range: [0, 48]
+      - model: argilla/notus-7b-v1
+        layer_range: [0, 48]
+merge_method: slerp
+base_model: argilla/notus-7b-v1
+parameters:
+  t:
+    - filter: lm_head 
+      value: [0.75]
+    - filter: embed_tokens
+      value: [0.75]
+    - filter: self_attn
+      value: [0.75, 0.25]
+    - filter: mlp
+      value:  [0.25, 0.75]
+    - filter: layernorm
+      value: [0.5, 0.5]
+    - filter: modelnorm
+      value: [0.75]
+    - value: 0.99 # fallback for rest of tensors
+dtype: bfloat16
+```
+
+loyal-piano-juanako-11B :
+```
+slices:
+  - sources:
+    - model: fblgit/juanako-7b-UNA
+      layer_range: [0, 24]
+  - sources:
+    - model: chargoddard/loyal-piano-m7
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+Starling-DPOHermes-11B :
+```
+slices:
+  - sources:
+    - model: berkeley-nest/Starling-LM-7B-alpha
+      layer_range: [0, 24]
+  - sources:
+    - model: openaccess-ai-collective/DPOpenHermes-7B
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+Nyxene-11B :
+```
+slices:
+  - sources:
+      - model: loyal-piano-juanako-11B
+        layer_range: [0, 48]
+      - model: Starling-NeuralHermes-11B
+        layer_range: [0, 48]
+merge_method: slerp
+base_model: dolphin-juanako-11B
+parameters:
+  t:
+    - filter: lm_head 
+      value: [0.75]
+    - filter: embed_tokens
+      value: [0.75]
+    - filter: self_attn
+      value: [0.75, 0.25]
+    - filter: mlp
+      value:  [0.25, 0.75]
+    - filter: layernorm
+      value: [0.5, 0.5]
+    - filter: modelnorm
+      value: [0.75]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+```
+I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_beberik__Nyxene-v1-11B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |67.58|
+|AI2 Reasoning Challenge (25-Shot)|67.49|
+|HellaSwag (10-Shot)              |84.52|
+|MMLU (5-Shot)                    |65.12|
+|TruthfulQA (0-shot)              |57.28|
+|Winogrande (5-shot)              |79.01|
+|GSM8k (5-shot)                   |52.08|
+
--- a/config.json
+++ b/config.json
@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "./Nyxene-v1-11B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}
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--- a/model.safetensors.index.json
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--- a/special_tokens_map.json
+++ b/special_tokens_map.json
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+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}