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Hermes-2-Theta-Llama-3-70B-XelotX-iQuants

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distillation
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function calling
structured outputs
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Duplicate from mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF

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Co-authored-by: Michael Radermacher <[email protected]>

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  23. Hermes-2-Theta-Llama-3-70B.i1-Q6_K.gguf.part2of2 +3 -0
  24. README.md +79 -0
  25. imatrix.dat +3 -0
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+ ---
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+ base_model: NousResearch/Hermes-2-Theta-Llama-3-70B
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+ language:
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+ - en
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+ library_name: transformers
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+ license: llama3
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+ quantized_by: mradermacher
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+ tags:
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+ - distillation
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+ - synthetic data
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+ - function calling
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+ - structured outputs
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+ - json mode
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+ ---
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+ ## About
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+
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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/NousResearch/Hermes-2-Theta-Llama-3-70B
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+
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+ <!-- provided-files -->
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+ static quants are available at https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-GGUF
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+ ## Usage
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+
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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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+
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+ ## Provided Quants
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+
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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
35
+
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+ | Link | Type | Size/GB | Notes |
37
+ |:-----|:-----|--------:|:------|
38
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ1_S.gguf) | i1-IQ1_S | 15.4 | for the desperate |
39
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ1_M.gguf) | i1-IQ1_M | 16.9 | mostly desperate |
40
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 19.2 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 21.2 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ2_S.gguf) | i1-IQ2_S | 22.3 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
45
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |
46
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 29.4 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ3_S.gguf) | i1-IQ3_S | 31.0 | beats Q3_K* |
48
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better |
49
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
51
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better |
52
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q4_0.gguf) | i1-Q4_0 | 40.2 | fast, low quality |
54
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |
55
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended |
56
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 48.8 | |
57
+ | [GGUF](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 50.0 | |
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+ | [PART 1](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Hermes-2-Theta-Llama-3-70B-i1-GGUF/resolve/main/Hermes-2-Theta-Llama-3-70B.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K |
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+
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+ Here is a handy graph by ikawrakow comparing some lower-quality quant
61
+ types (lower is better):
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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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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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+
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+ ## FAQ / Model Request
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+
70
+ 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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+
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+ ## Thanks
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+
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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 hardware for calculating the imatrix for these quants.
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+
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+ <!-- end -->
imatrix.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8008e2d2955d34d66d6831709cbbf0974a37ef28e4311a3f4ddf41bf393471e8
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+ size 24922289