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Model: Locutusque/llama-3-neural-chat-v1-8b
Source: Original Platform

README.md

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+---
+license: other
+library_name: transformers
+base_model: meta-llama/Meta-Llama-3-8B
+datasets:
+- mlabonne/orpo-dpo-mix-40k
+- Open-Orca/SlimOrca-Dedup
+- jondurbin/airoboros-3.2
+- microsoft/orca-math-word-problems-200k
+- m-a-p/Code-Feedback
+- MaziyarPanahi/WizardLM_evol_instruct_V2_196k
+model-index:
+- name: llama-3-neural-chat-v1-8b
+  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: 60.84
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      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: 84.13
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      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: 64.69
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      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: 56.34
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      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: 78.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      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: 54.81
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
+      name: Open LLM Leaderboard
+---
+
+# llama-3-neural-chat-v1-8b
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6437292ecd93f4c9a34b0d47/6XQuhjWNr6C4RbU9f1k99.png)
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writing. I use both SFT and DPO.
+
+- **Developed by:** Locutusque
+- **Model type:** Built with Meta Llama 3
+- **Language(s) (NLP):** Many?
+- **License:** Llama 3 license https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE
+
+## Quants
+
+### EXL2 [@bartowski](https://huggingface.co/bartowski/)
+
+- https://huggingface.co/bartowski/llama-3-neural-chat-v1-8b-exl2
+
+### GGUF [@bartowski](https://huggingface.co/bartowski/)
+
+- https://huggingface.co/bartowski/llama-3-neural-chat-v1-8b-GGUF
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+This model has great performance in writing and coding.
+
+## Training Data
+- Open-Orca/SlimOrca-Dedup
+- jondurbin/airoboros-3.2
+- microsoft/orca-math-word-problems-200k
+- m-a-p/Code-Feedback
+- MaziyarPanahi/WizardLM_evol_instruct_V2_196k
+- mlabonne/orpo-dpo-mix-40k
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+Conversational AI.
+
+## Evaluations
+
+|              Tasks              |Version|     Filter     |n-shot|  Metric   |Value |   |Stderr|
+|---------------------------------|-------|----------------|-----:|-----------|-----:|---|-----:|
+|truthfulqa_mc2                   |      2|none            |     0|acc        |0.5627|±  |0.0154|
+|gsm8k                            |      3|strict-match    |     5|exact_match|0.5481|±  |0.0137|
+|                                 |       |flexible-extract|     5|exact_match|0.5557|±  |0.0137|
+|agieval_nous                     |N/A    |none            |     0|acc        |0.3763|±  |0.0093|
+|                                 |       |none            |     0|acc_norm   |0.3665|±  |0.0093|
+| - agieval_aqua_rat              |      1|none            |     0|acc        |0.2087|±  |0.0255|
+|                                 |       |none            |     0|acc_norm   |0.2047|±  |0.0254|
+| - agieval_logiqa_en             |      1|none            |     0|acc        |0.3456|±  |0.0187|
+|                                 |       |none            |     0|acc_norm   |0.3594|±  |0.0188|
+| - agieval_lsat_ar               |      1|none            |     0|acc        |0.1826|±  |0.0255|
+|                                 |       |none            |     0|acc_norm   |0.1783|±  |0.0253|
+| - agieval_lsat_lr               |      1|none            |     0|acc        |0.3549|±  |0.0212|
+|                                 |       |none            |     0|acc_norm   |0.3451|±  |0.0211|
+| - agieval_lsat_rc               |      1|none            |     0|acc        |0.5242|±  |0.0305|
+|                                 |       |none            |     0|acc_norm   |0.5130|±  |0.0305|
+| - agieval_sat_en                |      1|none            |     0|acc        |0.6650|±  |0.0330|
+|                                 |       |none            |     0|acc_norm   |0.6505|±  |0.0333|
+| - agieval_sat_en_without_passage|      1|none            |     0|acc        |0.4175|±  |0.0344|
+|                                 |       |none            |     0|acc_norm   |0.3738|±  |0.0338|
+| - agieval_sat_math              |      1|none            |     0|acc        |0.4227|±  |0.0334|
+|                                 |       |none            |     0|acc_norm   |0.3682|±  |0.0326|
+# [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_Locutusque__llama-3-neural-chat-v1-8b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |66.50|
+|AI2 Reasoning Challenge (25-Shot)|60.84|
+|HellaSwag (10-Shot)              |84.13|
+|MMLU (5-Shot)                    |64.69|
+|TruthfulQA (0-shot)              |56.34|
+|Winogrande (5-shot)              |78.22|
+|GSM8k (5-shot)                   |54.81|
+