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Model: mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF Source: Original Platform
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VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
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VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
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---
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base_model: Nellyw888/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb
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datasets:
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- Nellyw888/VeriReason-RTL-Coder_7b_reasoning_tb
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language:
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- en
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library_name: transformers
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mradermacher:
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readme_rev: 1
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quantized_by: mradermacher
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tags:
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- verilog
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- reasoning
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- reinforcement-learning
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- rtl
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---
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## About
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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<!-- ### vocab_type: -->
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<!-- ### tags: nicoboss -->
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weighted/imatrix quants of https://huggingface.co/Nellyw888/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb
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<!-- provided-files -->
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-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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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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more details, including on how to concatenate multi-part files.
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## Provided Quants
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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||||
| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ1_S.gguf) | i1-IQ1_S | 2.0 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ1_M.gguf) | i1-IQ1_M | 2.1 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.4 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.6 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ2_S.gguf) | i1-IQ2_S | 2.7 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ2_M.gguf) | i1-IQ2_M | 2.9 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.9 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q2_K.gguf) | i1-Q2_K | 3.1 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.2 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.4 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.6 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ3_S.gguf) | i1-IQ3_S | 3.6 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ3_M.gguf) | i1-IQ3_M | 3.7 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.9 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.2 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.3 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.5 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q4_0.gguf) | i1-Q4_0 | 4.5 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.6 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q4_1.gguf) | i1-Q4_1 | 5.0 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.5 | |
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| [GGUF](https://huggingface.co/mradermacher/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb-i1-GGUF/resolve/main/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb.i1-Q6_K.gguf) | i1-Q6_K | 6.4 | practically like static Q6_K |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## FAQ / Model Request
|
||||
|
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See https://huggingface.co/mradermacher/model_requests for some answers to
|
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questions you might have and/or if you want some other model quantized.
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## Thanks
|
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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me use its servers and providing upgrades to my workstation to enable
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this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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<!-- end -->
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version https://git-lfs.github.com/spec/v1
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oid sha256:673015b10d83204cd8a514baee460f2159494a1a493eae253b689c88d10042c6
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size 3015941536
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version https://git-lfs.github.com/spec/v1
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oid sha256:ccbbc10e16d095d0e321962f7ff09869ae0cccf84d9fafc4b36ee2d9adaeaf85
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size 2834075040
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version https://git-lfs.github.com/spec/v1
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oid sha256:03549e5845e7e2ca49593207a4c8ef09bea7e82ef39298f60a12f745c722c208
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size 4088460704
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8fc8c8b94d4fb71018d0e1582622b202f3a409a5ccdabd40f8c138243085339
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size 3808392608
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f0bfd19a25299fc08025cfb8b2baa82e779b5200296535624e94f88c3112eed
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size 3492369824
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb292480df2021e5cc1d808e43824dd2113ac89582d326859099400f8fd22c75
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size 4444122528
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version https://git-lfs.github.com/spec/v1
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oid sha256:de74c0ebe2a8c9c154f671968342ae6d4c47f873d4e9d07528359b4a78c3589c
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size 4873285024
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version https://git-lfs.github.com/spec/v1
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oid sha256:3aa3983522610f314c798ef1f9aa98099ba5e37a4382d9a69e5318c1ee97676c
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size 4683074976
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version https://git-lfs.github.com/spec/v1
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oid sha256:50292070e2e6ff4751bd5e7fef24d3605b2a88ba4b368aafa1268f1f2e3e6de1
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size 4457770400
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e208129c9a3055cb937eac1c4920f170c2236729e7d75a4cd326b50d894d409
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size 5444832672
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version https://git-lfs.github.com/spec/v1
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oid sha256:c04d959e7d3e6fea3697067b986f134a5c9f156bf5e4666f327e7f48d4e97b24
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size 5315177888
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version https://git-lfs.github.com/spec/v1
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size 6254200224
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3
imatrix.dat
Normal file
3
imatrix.dat
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7f574fc10fc8e7aa136a3d9d92a3671f2df5421e156294be98f39ded244e541b
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size 4536665
|
||||
Reference in New Issue
Block a user