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second-state/Yi-34Bx2-MoE-60B-GGUF
Yi-34Bx2-MoE-60B-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
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Downloads · 30 days
585
6% of all-time downloads
All-time downloads
10.5K
Public
Repo size
1.1 TB
Likes
2
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.gguf700 GB · 100%
From the Hugging Face model README
LlamaEdge version: v0.2.8 and above
Prompt template
Prompt type: chatml
Prompt string
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Reverse prompt: <|im_end|>
Context size: 7168
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template chatml \
--reverse-prompt '<|im_end|>' \
--ctx-size 7168 \
--model-name Yi-34Bx2-MoE-60B
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34Bx2-MoE-60B-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template chatml \
--reverse-prompt '<|im_end|>' \
--ctx-size 7168
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Yi-34Bx2-MoE-60B-Q2_K.gguf | Q2_K | 2 | 22.4 GB | smallest, significant quality loss - not recommended for most purposes |
| Yi-34Bx2-MoE-60B-Q3_K_L.gguf | Q3_K_L | 3 | 31.8 GB | small, substantial quality loss |
| Yi-34Bx2-MoE-60B-Q3_K_M.gguf | Q3_K_M | 3 | 29.2 GB | very small, high quality loss |
| Yi-34Bx2-MoE-60B-Q3_K_S.gguf | Q3_K_S | 3 | 26.3 GB | very small, high quality loss |
| Yi-34Bx2-MoE-60B-Q4_0.gguf | Q4_0 | 4 | 34.3 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Yi-34Bx2-MoE-60B-Q4_K_M.gguf | Q4_K_M | 4 | 36.7 GB | medium, balanced quality - recommended |
| Yi-34Bx2-MoE-60B-Q4_K_S.gguf | Q4_K_S | 4 | 34.6 GB | small, greater quality loss |
| Yi-34Bx2-MoE-60B-Q5_0.gguf | Q5_0 | 5 | 41.9 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Yi-34Bx2-MoE-60B-Q5_K_M.gguf | Q5_K_M | 5 | 43.1 GB | large, very low quality loss - recommended |
| Yi-34Bx2-MoE-60B-Q5_K_S.gguf | Q5_K_S | 5 | 41.9 GB | large, low quality loss - recommended |
| Yi-34Bx2-MoE-60B-Q6_K.gguf | Q6_K | 6 | 49.9 GB | very large, extremely low quality loss |
| Yi-34Bx2-MoE-60B-Q8_0-00001-of-00003.gguf | Q8_0 | 8 | 32.2 GB | very large, extremely low quality loss - not recommended |
| Yi-34Bx2-MoE-60B-Q8_0-00002-of-00003.gguf | Q8_0 | 8 | 32.1 GB | very large, extremely low quality loss - not recommended |
| Yi-34Bx2-MoE-60B-Q8_0-00001-of-00003.gguf | Q8_0 | 8 | 312 MB | very large, extremely low quality loss - not recommended |
| Yi-34Bx2-MoE-60B-f16-00001-of-00008.gguf | f16 | 16 | 31.9 GB | |
| Yi-34Bx2-MoE-60B-f16-00002-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00003-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00004-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00005-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00006-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00007-of-00008.gguf | f16 | 16 | 31.7 GB | |
| Yi-34Bx2-MoE-60B-f16-00008-of-00008.gguf | f16 | 16 | 21.1 GB |
Quantized with llama.cpp b2734