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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Prima-LelantaclesV5-7b - GGUF
+- Model creator: https://huggingface.co/ChaoticNeutrals/
+- Original model: https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV5-7b/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Prima-LelantaclesV5-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q2_K.gguf) | Q2_K | 2.53GB |
+| [Prima-LelantaclesV5-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
+| [Prima-LelantaclesV5-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.IQ3_S.gguf) | IQ3_S | 2.96GB |
+| [Prima-LelantaclesV5-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
+| [Prima-LelantaclesV5-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.IQ3_M.gguf) | IQ3_M | 3.06GB |
+| [Prima-LelantaclesV5-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q3_K.gguf) | Q3_K | 3.28GB |
+| [Prima-LelantaclesV5-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
+| [Prima-LelantaclesV5-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
+| [Prima-LelantaclesV5-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
+| [Prima-LelantaclesV5-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q4_0.gguf) | Q4_0 | 3.83GB |
+| [Prima-LelantaclesV5-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
+| [Prima-LelantaclesV5-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
+| [Prima-LelantaclesV5-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q4_K.gguf) | Q4_K | 4.07GB |
+| [Prima-LelantaclesV5-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
+| [Prima-LelantaclesV5-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q4_1.gguf) | Q4_1 | 4.24GB |
+| [Prima-LelantaclesV5-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q5_0.gguf) | Q5_0 | 4.65GB |
+| [Prima-LelantaclesV5-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
+| [Prima-LelantaclesV5-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q5_K.gguf) | Q5_K | 4.78GB |
+| [Prima-LelantaclesV5-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
+| [Prima-LelantaclesV5-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q5_1.gguf) | Q5_1 | 5.07GB |
+| [Prima-LelantaclesV5-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q6_K.gguf) | Q6_K | 5.53GB |
+| [Prima-LelantaclesV5-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV5-7b-gguf/blob/main/Prima-LelantaclesV5-7b.Q8_0.gguf) | Q8_0 | 7.17GB |
+
+
+
+
+Original model description:
+---
+license: other
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- Test157t/Pasta-Lake-7b
+- Test157t/Prima-LelantaclesV4-7b-16k
+model-index:
+- name: Prima-LelantaclesV5-7b
+  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: 70.65
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      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: 87.87
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      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: 64.52
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      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: 68.26
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      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: 82.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      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: 64.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
+      name: Open LLM Leaderboard
+---
+  Update: Getting suprisingly good results at 16384 context, which is unexpected given this context pool should remain untouched from other mistral models working around 8192.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/iZWd2VINrrl-ToMoD9ZUp.png)
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/_AugGaelWylUuIIDmYOXG.jpeg)
+
+Thanks to @Lewdiculus for the Quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV5-7b-GGUF
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method.
+
+The following models were included in the merge:
+* [Test157t/Pasta-Lake-7b](https://huggingface.co/Test157t/Pasta-Lake-7b) +  [Test157t/Prima-LelantaclesV4-7b-16k](https://huggingface.co/Test157t/Prima-LelantaclesV4-7b-16k)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: dare_ties
+base_model: Test157t/Prima-LelantaclesV4-7b-16k
+parameters:
+  normalize: true
+models:
+  - model: Test157t/Pasta-Lake-7b
+    parameters:
+      weight: 1
+  - model: Test157t/Prima-LelantaclesV4-7b-16k
+    parameters:
+      weight: 1
+dtype: float16
+
+```
+# [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_ChaoticNeutrals__Prima-LelantaclesV5-7b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |73.09|
+|AI2 Reasoning Challenge (25-Shot)|70.65|
+|HellaSwag (10-Shot)              |87.87|
+|MMLU (5-Shot)                    |64.52|
+|TruthfulQA (0-shot)              |68.26|
+|Winogrande (5-shot)              |82.40|
+|GSM8k (5-shot)                   |64.82|
+
+
+