Downloads · 30 days
50
2% of all-time downloads
RichardErkhov/elinas_-_Llama-3-13B-Instruct-gguf
elinas_-_Llama-3-13B-Instruct-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
50
2% of all-time downloads
All-time downloads
2.1K
Public
Repo size
149 GB
Likes
0
Public
Click a slice to open those files.
.gguf173 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama-3-13B-Instruct - GGUF
| Name | Quant method | Size |
|---|---|---|
| Llama-3-13B-Instruct.Q2_K.gguf | Q2_K | 4.68GB |
| Llama-3-13B-Instruct.IQ3_XS.gguf | IQ3_XS | 5.18GB |
| Llama-3-13B-Instruct.IQ3_S.gguf | IQ3_S | 5.45GB |
| Llama-3-13B-Instruct.Q3_K_S.gguf | Q3_K_S | 5.42GB |
| Llama-3-13B-Instruct.IQ3_M.gguf | IQ3_M | 5.61GB |
| Llama-3-13B-Instruct.Q3_K.gguf | Q3_K | 5.98GB |
| Llama-3-13B-Instruct.Q3_K_M.gguf | Q3_K_M | 5.98GB |
| Llama-3-13B-Instruct.Q3_K_L.gguf | Q3_K_L | 6.47GB |
| Llama-3-13B-Instruct.IQ4_XS.gguf | IQ4_XS | 6.69GB |
| Llama-3-13B-Instruct.Q4_0.gguf | Q4_0 | 6.97GB |
| Llama-3-13B-Instruct.IQ4_NL.gguf | IQ4_NL | 7.04GB |
| Llama-3-13B-Instruct.Q4_K_S.gguf | Q4_K_S | 7.01GB |
| Llama-3-13B-Instruct.Q4_K.gguf | Q4_K | 7.38GB |
| Llama-3-13B-Instruct.Q4_K_M.gguf | Q4_K_M | 7.38GB |
| Llama-3-13B-Instruct.Q4_1.gguf | Q4_1 | 7.7GB |
| Llama-3-13B-Instruct.Q5_0.gguf | Q5_0 | 8.43GB |
| Llama-3-13B-Instruct.Q5_K_S.gguf | Q5_K_S | 8.43GB |
| Llama-3-13B-Instruct.Q5_K.gguf | Q5_K | 8.64GB |
| Llama-3-13B-Instruct.Q5_K_M.gguf | Q5_K_M | 8.64GB |
| Llama-3-13B-Instruct.Q5_1.gguf | Q5_1 | 9.16GB |
| Llama-3-13B-Instruct.Q6_K.gguf | Q6_K | 9.98GB |
| Llama-3-13B-Instruct.Q8_0.gguf | Q8_0 | 12.92GB |
base_model:
This is a merge of pre-trained language models created using mergekit.
The goal was to create a Llama 3 13B model to have a "mid" sized model which Meta has released in the past, but I would consider this a base model to be further finetuned on. Surprisingly, it is usable for chat and storywriting with Llama 3 Instruct template, though it does occasionally have some grammatical quirks like L3-120B.
Logical ability (programming, math, science, etc.) has been deteriorated by the merge process.
Use <u>no repetition penalty or <1.05</u> or it might go a bit haywire, other than that, it is suitable for writing use. I have not tested it against L3 8B in that regard.
A finetuned version of this model can be found at elinas/Llama-3-13B-Instruct-ft which seems to improve performance.
This model was merged using the passthrough merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 10]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [5, 15]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [10, 20]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [15, 25]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [20, 25]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [22, 32]
model: meta-llama/Meta-Llama-3-8B-Instruct
TBD - submitted