RichardErkhov/Eric111_-_Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1-gguf

Quantization made by Richard Erkhov.

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Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1 - GGUF

• Model creator: https://huggingface.co/Eric111/
• Original model: https://huggingface.co/Eric111/Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1/

Name	Quant method	Size
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q2_K.gguf	Q2_K	2.53GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.IQ3_XS.gguf	IQ3_XS	2.81GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.IQ3_S.gguf	IQ3_S	2.96GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q3_K_S.gguf	Q3_K_S	2.95GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.IQ3_M.gguf	IQ3_M	3.06GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q3_K.gguf	Q3_K	3.28GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q3_K_M.gguf	Q3_K_M	3.28GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q3_K_L.gguf	Q3_K_L	3.56GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.IQ4_XS.gguf	IQ4_XS	3.67GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q4_0.gguf	Q4_0	3.83GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.IQ4_NL.gguf	IQ4_NL	3.87GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q4_K_S.gguf	Q4_K_S	3.86GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q4_K.gguf	Q4_K	4.07GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q4_K_M.gguf	Q4_K_M	4.07GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q4_1.gguf	Q4_1	4.24GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q5_0.gguf	Q5_0	4.65GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q5_K_S.gguf	Q5_K_S	4.65GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q5_K.gguf	Q5_K	4.78GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q5_K_M.gguf	Q5_K_M	4.78GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q5_1.gguf	Q5_1	5.07GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q6_K.gguf	Q6_K	5.53GB
Mistral-7B-Instruct_v0.2_UNA-TheBeagle-7b-v1.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model:

• mistralai/Mistral-7B-Instruct-v0.2
• fblgit/UNA-TheBeagle-7b-v1 license: cc-by-nc-nd-4.0 library_name: transformers tags:
• mergekit
• merge

---

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• mistralai/Mistral-7B-Instruct-v0.2
• fblgit/UNA-TheBeagle-7b-v1

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
      - model: fblgit/UNA-TheBeagle-7b-v1
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16