uploaded readme

README.md

@@ -0,0 +1,225 @@
+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+llama-3-experiment-v1-9B - GGUF
+- Model creator: https://huggingface.co/grimjim/
+- Original model: https://huggingface.co/grimjim/llama-3-experiment-v1-9B/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [llama-3-experiment-v1-9B.Q2_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q2_K.gguf) | Q2_K | 3.26GB |
+| [llama-3-experiment-v1-9B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_XS.gguf) | IQ3_XS | 3.61GB |
+| [llama-3-experiment-v1-9B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_S.gguf) | IQ3_S | 3.78GB |
+| [llama-3-experiment-v1-9B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_S.gguf) | Q3_K_S | 3.76GB |
+| [llama-3-experiment-v1-9B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ3_M.gguf) | IQ3_M | 3.88GB |
+| [llama-3-experiment-v1-9B.Q3_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K.gguf) | Q3_K | 4.13GB |
+| [llama-3-experiment-v1-9B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_M.gguf) | Q3_K_M | 4.13GB |
+| [llama-3-experiment-v1-9B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q3_K_L.gguf) | Q3_K_L | 4.45GB |
+| [llama-3-experiment-v1-9B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ4_XS.gguf) | IQ4_XS | 4.61GB |
+| [llama-3-experiment-v1-9B.Q4_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_0.gguf) | Q4_0 | 4.8GB |
+| [llama-3-experiment-v1-9B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.IQ4_NL.gguf) | IQ4_NL | 4.84GB |
+| [llama-3-experiment-v1-9B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K_S.gguf) | Q4_K_S | 4.83GB |
+| [llama-3-experiment-v1-9B.Q4_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K.gguf) | Q4_K | 5.07GB |
+| [llama-3-experiment-v1-9B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_K_M.gguf) | Q4_K_M | 5.07GB |
+| [llama-3-experiment-v1-9B.Q4_1.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q4_1.gguf) | Q4_1 | 5.29GB |
+| [llama-3-experiment-v1-9B.Q5_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_0.gguf) | Q5_0 | 5.77GB |
+| [llama-3-experiment-v1-9B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K_S.gguf) | Q5_K_S | 5.77GB |
+| [llama-3-experiment-v1-9B.Q5_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K.gguf) | Q5_K | 5.91GB |
+| [llama-3-experiment-v1-9B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_K_M.gguf) | Q5_K_M | 5.91GB |
+| [llama-3-experiment-v1-9B.Q5_1.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q5_1.gguf) | Q5_1 | 6.26GB |
+| [llama-3-experiment-v1-9B.Q6_K.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q6_K.gguf) | Q6_K | 6.81GB |
+| [llama-3-experiment-v1-9B.Q8_0.gguf](https://huggingface.co/RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf/blob/main/llama-3-experiment-v1-9B.Q8_0.gguf) | Q8_0 | 8.82GB |
+
+
+
+
+Original model description:
+---
+language:
+- en
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+library_name: transformers
+tags:
+- meta
+- llama-3
+- pytorch
+- mergekit
+- merge
+license: llama3
+license_link: LICENSE
+pipeline_tag: text-generation
+widget:
+  - example_title: Hello
+    messages:
+    - role: user
+      content: Hey my name is Corwin! How are you?
+  - example_title: Hellriding out of Amber
+    messages:
+    - role: system
+      content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
+    - role: user
+      content: Can you recommend a good destination for a hellride out of Amber?
+inference:
+  parameters:
+    max_new_tokens: 300
+    stop:
+    - <|end_of_text|>
+    - <|eot_id|>
+model-index:
+- name: grimjim/grimjim/llama-3-experiment-v1-9B
+  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: 66.41
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/grimjim/llama-3-experiment-v1-9B
+      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: 78.56
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
+      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: 66.71
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
+      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: 50.7
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
+      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: 75.93
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
+      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: 65.88
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/llama-3-experiment-v1-9B
+      name: Open LLM Leaderboard
+---
+# llama-3-experiment-v1-9B
+
+This is an experimental merge, replicating additional layers to the model without post-merge healing.
+There is damage to the model, but it appears to be tolerable as is; the performance difference in benchmarks from the original 8B Instruct model does not appear to be significant.
+The resulting impact on narrative text completion may also be of interest.
+
+Light testing performed with instruct prompting and the following sampler settings:
+- temp=1 and minP=0.02
+- temp=1 and smoothing factor=0.33
+
+Full weights: [grimjim/llama-3-experiment-v1-9B](https://huggingface.co/grimjim/llama-3-experiment-v1-9B)
+
+GGUF quants: [grimjim/llama-3-experiment-v1-9B-GGUF](https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF)
+
+This is a merge of pre-trained language model meta-llama/Meta-Llama-3-8B-Instruct created using [mergekit](https://github.com/cg123/mergekit).
+
+Built with Meta Llama 3.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* meta-llama/Meta-Llama-3-8B-Instruct
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: meta-llama/Meta-Llama-3-8B-Instruct
+      layer_range: [0, 12]
+  - sources:
+    - model: meta-llama/Meta-Llama-3-8B-Instruct
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
+
+```
+
+