Mistral-rp-24b-karcher
2
—
by
mergekit-community
Language Model
OTHER
24B params
New
2 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
54GB+ RAM
Mobile
Laptop
Server
Quick Summary
This is a merge of pre-trained language models created using mergekit.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
23GB+ RAM
Code Examples
Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Configurationyaml
models:
- model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b
- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
- model: Gryphe/Pantheon-RP-1.8-24b-Small-3.1
- model: ReadyArt/Omega-Darker_The-Final-Directive-24B
merge_method: karcher
base_model: cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition
parameters:
max_iter: 1000
normalize: true
int8_mask: true
tokenizer_source: base
dtype: bfloat16Deploy This Model
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