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bellman-mistral-7b-instruct-v0.3-i1-GGUF

Transformers
GGUF
Swedish
text-generation-inference
unsloth
mistral
trl
Inference Endpoints
imatrix
conversational
Model card Files Community
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auto-patch README.md

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README.md CHANGED
@@ -38,7 +38,30 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
 
 
 
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.6 | very low quality |
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  | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.2 | prefer IQ4_XS |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q4_1.gguf) | i1-Q4_1 | 4.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/bellman-mistral-7b-instruct-v0.3-i1-GGUF/resolve/main/bellman-mistral-7b-instruct-v0.3.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | 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):