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SOCAM-V1-GGUF

Transformers
GGUF
English
text-generation-inference
unsloth
qwen3_moe
cognitive chains
cognition
conversational
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  ---
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  base_model: Daemontatox/SOCAM-V1
 
 
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  language:
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  - en
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  library_name: transformers
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  - transformers
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  - unsloth
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  - qwen3_moe
 
 
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  ---
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  ## About
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  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SOCAM-V1-GGUF).***
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- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_S.gguf) | Q3_K_S | 13.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_L.gguf) | Q3_K_L | 16.0 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q6_K.gguf) | Q6_K | 25.2 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q8_0.gguf) | Q8_0 | 32.6 | fast, best quality |
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  ---
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  base_model: Daemontatox/SOCAM-V1
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+ datasets:
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+ - Daemontatox/SOCAM
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  language:
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  - en
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  library_name: transformers
 
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  - transformers
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  - unsloth
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  - qwen3_moe
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+ - cognitive chains
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+ - cognition
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  ---
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  ## About
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  ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SOCAM-V1-GGUF).***
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/SOCAM-V1-i1-GGUF
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  ## Usage
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  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_S.gguf) | Q3_K_S | 13.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q3_K_L.gguf) | Q3_K_L | 16.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.IQ4_XS.gguf) | IQ4_XS | 16.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q4_K_S.gguf) | Q4_K_S | 17.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q4_K_M.gguf) | Q4_K_M | 18.7 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q5_K_S.gguf) | Q5_K_S | 21.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q5_K_M.gguf) | Q5_K_M | 21.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q6_K.gguf) | Q6_K | 25.2 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/SOCAM-V1-GGUF/resolve/main/SOCAM-V1.Q8_0.gguf) | Q8_0 | 32.6 | fast, best quality |
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