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Model: Badgids/Gonzo-Chat-7B Source: Original Platform
2026-05-31 23:13:00 +08:00
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--- a/README.md
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+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- Nondzu/Mistral-7B-Instruct-v0.2-code-ft
+- NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+- eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
+model-index:
+- name: Gonzo-Chat-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: 65.02
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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: 85.4
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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: 63.75
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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: 60.23
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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: 77.74
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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: 47.61
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-7B
+      name: Open LLM Leaderboard
+---
+# Gonzo-Chat-7B
+
+Gonzo-Chat-7B is a merged LLM based on Mistral v0.01 with a 8192 Context length that likes to chat, roleplay, work with agents, do some lite programming, and then beat the brakes off you in the back alley...
+
+The ***BEST*** Open Source 7B **Street Fighting** LLM of 2024!!!
+
+![SF-III.jpg](https://cdn-uploads.huggingface.co/production/uploads/635bf4cfca038892de049862/txhGhwRWWbZAuKQET-v8F.jpeg)
+
+
+# [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_Badgids__Gonzo-Chat-7B)
+
+| Metric                            | Value |
+| --------------------------------- | ----: |
+| Avg.                              | 66.63 |
+| AI2 Reasoning Challenge (25-Shot) | 65.02 |
+| HellaSwag (10-Shot)               | 85.40 |
+| MMLU (5-Shot)                     | 63.75 |
+| TruthfulQA (0-shot)               | 60.23 |
+| Winogrande (5-shot)               | 77.74 |
+| GSM8k (5-shot)                    | 47.61 |
+
+
+
+## LLM-Colosseum Results
+
+
+All contestents fought using the same LLM-Colosseum default settings. Each contestant fought 25 rounds with every other contestant.
+
+https://github.com/OpenGenerativeAI/llm-colosseum
+
+
+
+### Gonzo-Chat-7B .vs Mistral v0.2, Dolphon-Mistral v0.2, Deepseek-Coder-6.7b-instruct
+
+
+![games-won.png](https://cdn-uploads.huggingface.co/production/uploads/635bf4cfca038892de049862/gZHRuz7KO6-czOEcPwZw_.png)
+
+![download.png](https://cdn-uploads.huggingface.co/production/uploads/635bf4cfca038892de049862/UubKr4WlnWjnmt8Eh9xkk.png)
+
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+
+
+## 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 [eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO](https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Nondzu/Mistral-7B-Instruct-v0.2-code-ft](https://huggingface.co/Nondzu/Mistral-7B-Instruct-v0.2-code-ft)
+* [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)
+* [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
+    # No parameters necessary for base model
+  - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model:  NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+
--- a/config.json
+++ b/config.json
@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "Gonzo-Chat-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": 32768,
+  "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": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
@@ -0,0 +1,20 @@
+models:
+  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
+    # No parameters necessary for base model
+  - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model:  NousResearch/Nous-Hermes-2-Mistral-7B-DPO
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
+parameters:
+  int8_mask: true
+dtype: bfloat16
--- a/model-00001-of-00002.safetensors
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--- a/special_tokens_map.json
+++ b/special_tokens_map.json
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+{
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--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
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+  "use_default_system_prompt": false
+}