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Model: Nitral-Archive/Kunocchini-7b Source: Original Platform
2026-05-25 10:49:18 +08:00
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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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--- a/README.md
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+---
+license: other
+library_name: transformers
+tags:
+- mergekit
+- merge
+- alpaca
+- mistral
+base_model:
+- SanjiWatsuki/Kunoichi-DPO-v2-7B
+- Epiculous/Fett-uccine-7B
+model-index:
+- name: Kunocchini-7b
+  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=Test157t/Kunocchini-7b
+      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: 86.85
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b
+      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: 63.89
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b
+      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: 68.62
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b
+      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: 77.98
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b
+      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: 47.84
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b
+      name: Open LLM Leaderboard
+---
+Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
+
+Id like to also thank @kalomaze for the dope sampler additions to ST. 
+
+@SanjiWatsuki Thank you very much for the help, and the model!
+
+ST users can find the TextGenPreset in the folder labeled so.
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/9obNSalcJqCilQwr_4ssM.jpeg)
+
+Quants:Thank you @bartowski, @jeiku, @konz00.
+
+https://huggingface.co/bartowski/Kunocchini-exl2  
+
+https://huggingface.co/jeiku/Konocchini-7B_GGUF
+
+https://huggingface.co/konz00/Kunocchini-7b-GGUF
+
+The following models were included in the merge:
+* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
+* [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+      - model: Epiculous/Fett-uccine-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+# [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_Test157t__Kunocchini-7b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |68.78|
+|AI2 Reasoning Challenge (25-Shot)|67.49|
+|HellaSwag (10-Shot)              |86.85|
+|MMLU (5-Shot)                    |63.89|
+|TruthfulQA (0-shot)              |68.62|
+|Winogrande (5-shot)              |77.98|
+|GSM8k (5-shot)                   |47.84|
+
--- a/presets/Default-Context_With_Trimming.json
+++ b/presets/Default-Context_With_Trimming.json
@@ -0,0 +1,11 @@
+{
+    "story_string": "{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}",
+    "example_separator": "***",
+    "chat_start": "***",
+    "use_stop_strings": false,
+    "always_force_name2": false,
+    "trim_sentences": true,
+    "include_newline": false,
+    "single_line": false,
+    "name": "Default- With Trimming"
+}
--- a/presets/Yes_This_Is_a_Textgen_Preset.json
+++ b/presets/Yes_This_Is_a_Textgen_Preset.json
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+{
+    "temp": 1,
+    "temperature_last": true,
+    "top_p": 1,
+    "top_k": 0,
+    "top_a": 0,
+    "tfs": 1,
+    "epsilon_cutoff": 0,
+    "eta_cutoff": 0,
+    "typical_p": 1,
+    "min_p": 0.05,
+    "rep_pen": 1,
+    "rep_pen_range": 0,
+    "no_repeat_ngram_size": 0,
+    "penalty_alpha": 0,
+    "num_beams": 1,
+    "length_penalty": 0,
+    "min_length": 0,
+    "encoder_rep_pen": 1,
+    "freq_pen": 0,
+    "presence_pen": 0,
+    "do_sample": true,
+    "early_stopping": false,
+    "dynatemp": false,
+    "min_temp": 1,
+    "max_temp": 5,
+    "dynatemp_exponent": 1,
+    "smoothing_factor": 0.25,
+    "add_bos_token": true,
+    "truncation_length": 2048,
+    "ban_eos_token": false,
+    "skip_special_tokens": false,
+    "streaming": false,
+    "mirostat_mode": 0,
+    "mirostat_tau": 5,
+    "mirostat_eta": 0.1,
+    "guidance_scale": 1,
+    "negative_prompt": "",
+    "grammar_string": "",
+    "banned_tokens": "",
+    "ignore_eos_token_aphrodite": false,
+    "spaces_between_special_tokens_aphrodite": true,
+    "sampler_order": [
+        6,
+        0,
+        1,
+        3,
+        4,
+        2,
+        5
+    ],
+    "logit_bias": [],
+    "n": 1,
+    "rep_pen_size": 0,
+    "genamt": 200,
+    "max_length": 8192
+}
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "SanjiWatsuki/Kunoichi-DPO-v2-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "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": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+slices:
+  - sources:
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+      - model: Epiculous/Fett-uccine-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
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