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RichardErkhov/
grimjim_-_llama-3-experiment-v1-9B-gguf

Name: grimjim_-_llama-3-experiment-v1-9B-gguf
Availability: InStock

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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	Q2_K	3.26GB
llama-3-experiment-v1-9B.IQ3_XS.gguf	IQ3_XS	3.61GB
llama-3-experiment-v1-9B.IQ3_S.gguf	IQ3_S	3.78GB
llama-3-experiment-v1-9B.Q3_K_S.gguf	Q3_K_S	3.76GB
llama-3-experiment-v1-9B.IQ3_M.gguf	IQ3_M	3.88GB
llama-3-experiment-v1-9B.Q3_K.gguf	Q3_K	4.13GB
llama-3-experiment-v1-9B.Q3_K_M.gguf	Q3_K_M	4.13GB
llama-3-experiment-v1-9B.Q3_K_L.gguf	Q3_K_L	4.45GB
llama-3-experiment-v1-9B.IQ4_XS.gguf	IQ4_XS	4.61GB
llama-3-experiment-v1-9B.Q4_0.gguf	Q4_0	4.8GB
llama-3-experiment-v1-9B.IQ4_NL.gguf	IQ4_NL	4.84GB
llama-3-experiment-v1-9B.Q4_K_S.gguf	Q4_K_S	4.83GB
llama-3-experiment-v1-9B.Q4_K.gguf	Q4_K	5.07GB
llama-3-experiment-v1-9B.Q4_K_M.gguf	Q4_K_M	5.07GB
llama-3-experiment-v1-9B.Q4_1.gguf	Q4_1	5.29GB
llama-3-experiment-v1-9B.Q5_0.gguf	Q5_0	5.77GB
llama-3-experiment-v1-9B.Q5_K_S.gguf	Q5_K_S	5.77GB
llama-3-experiment-v1-9B.Q5_K.gguf	Q5_K	5.91GB
llama-3-experiment-v1-9B.Q5_K_M.gguf	Q5_K_M	5.91GB
llama-3-experiment-v1-9B.Q5_1.gguf	Q5_1	6.26GB
llama-3-experiment-v1-9B.Q6_K.gguf	Q6_K	6.81GB
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

GGUF quants: 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.

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

RichardErkhov/grimjim_-_llama-3-experiment-v1-9B-gguf